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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 李學智(Hsueh-Jyh Li),陳士元(Shih-Yuan Chen) | |
dc.contributor.author | Yen-Sheng Chen | en |
dc.contributor.author | 陳晏笙 | zh_TW |
dc.date.accessioned | 2021-05-17T09:19:55Z | - |
dc.date.available | 2012-06-29 | |
dc.date.available | 2021-05-17T09:19:55Z | - |
dc.date.copyright | 2012-06-29 | |
dc.date.issued | 2012 | |
dc.date.submitted | 2012-06-25 | |
dc.identifier.citation | REFERENCES
[1] G. B. Dantzig, Linear Programming and Extensions. NJ: Princeton University Press, 1963. [2] D. E. Goldberg, Genetic algorithms in Search, Optimization and Machine Learning. MA: Addison-Wesley, 1989. [3] D. E. Goldberg, The Design of Innovation: Lessons From and for Competent Genetic Algorithms. New York: Springer, 2002. [4] D. H. Wolpert and W. G. Macready, “No free lunch theorems for optimization,” IEEE Trans. Evol. Comput., vol. 1, pp. 67–82, 1997. [5] C. F. Gerald and P. P. Wheatley, Applied Numerical Analysis. MA: Addison-Wesley, 2003. [6] R. L. Haupt, “An introduction to genetic algorithms for electromagnetics,” IEEE Trans. Antennas Propag. Mag., vol. 37, pp. 7–15, Apr. 1995. [7] D. S. Weile and E. Michielssen, “Genetic algorithm optimization applied to electromagnetics: A review,” IEEE Trans. Antennas Propagat., vol. 45, pp. 343–353, Mar. 1997. [8] J. M. Johnson and Y. Rahmat-Samii, “Genetic algorithms in engineering electromagnetics,” IEEE Trans. Antennas Propag. Mag., vol. 39, pp. 7–21, Aug. 1997. [9] J. Robinson and Y. Rahmat-Samii, “Particle swarm optimization in electromagnetics,” IEEE Trans. Antennas Propagat., vol. 52, no. 2, pp. 397–407, Feb. 2004. [10] N. Jin and Y. Rahmat-Samii, “Advances in particle swarm optimization for antenna designs: Real-number, binary, single-objective and multiobjective implementation,” IEEE Trans. Antennas Propagat., vol. 55, no. 3, pp. 556–567, Mar. 2007. [11] J. H. Holland, Adaptation in Natural and Artificial System. Ann Arbor: The University of Michigan Press, 1975. [12] D. E. Goldberg, Computer-Aided Pipeline Operation Using Genetic Algorithms and Rule Learning. Ann Arbor: The University of Michigan Press, 1983. [13] Y. Rahmat-Samii and E. Michielssen, Electromagnetic Optimization by Genetic Algorithms. New York: Wiley, 1999. [14] T.-L. Yu, D. E. Goldberg, K. Sastry, C. Lima, and M. Pelikan, “Dependency structure matrix, genetic algorithms, and effective recombination,” Evolutionary Computation, vol. 17, no. 4, pp. 595–626, Dec. 2009. [15] M. Pelikan, “Bayesian optimization algorithm: From single level to hierarchy.” Ph.D. dissertation, University of Illinois at Urbana-Chanpaign, Uebana, IL, 2002. [16] D. E. Goldberg, K. Deb, and D. Thierens, “Toward a better understanding of mixing in genetic algorithms,” Journal of the Society of Instrument and Control Engineers, vol. 32, no. 1, pp. 10–16, 1993. [17] D. Velduizen, J. Zydallis, and G. Lamont, “Considerations in engineering parallel multiobjective evolutionary optimizations,” IEEE Trans. Evol. Comput., vol. 7, no. 2, pp. 144–173, Apr. 2003. [18] K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Trans. Evol. Comput., vol. 6, pp. 182–197, Apr. 2002. [19] E. Zitzler, M. Laumanns, and L. Thiele, “SPEA2: Improving the strength Pareto evolutionary algorithm,” Tech. Rep. 103, Comput. Eng. and Networks Lab. (TIK), Swiss Federal Inst. of Technol. (ETH), Zurich, Switzerland, May 2001. [20] R. Boyd and P. J. Richerson, Culture and the Evolutionary Process. Chicago: The University of Chicago Press, 1985. [21] B. Arthur, “Inductive reasoning and bounded rationality,” American Economic Review 84, no. 2, pp. 406–411, May 1994. [22] M. Buchanan, The Social Atom: Why the Rich Get Richer, Cheaters get Caught, and Your Neighbor Usually Looks Like You. New York: Bloomsbury Publishing PLC, 2007. [23] J. Kennedy and R. Eberhart, “Particle warm optimization,” in Proc. IEEE Int. Conf. Neural Networks, 1995, vol. 4, pp. 1942–1948. [24] N. Jin and Y. Rahmat-Samii, “Parallel particle swarm optimization and finite-difference time-domain (PSO/FDTD) algorithm for multiband and wide-band patch antenna designs,” IEEE Trans. Antennas Propagat., vol. 53, no. 11, pp. 3459–3468, Nov. 2005. [25] M. M. Khodier and C. G. Christodoulou, “Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization,” IEEE Trans. Antennas Propagat., vol. 53, no. 8, pp. 2674–2679, Aug. 2005. [26] D. Gies and Y. Rahmat-Samii, “Particle swarm optimization (PSO) for reflector antenna shaping,” in IEEE Antennas Propag. Soc. Int. Symp. Dig., vol. 3, pp. 2289–2293. June 2004. [27] S. Cui and D. Weile, “Application of parallel particle swarm optimization scheme to the design of electromagnetic absorbers,” IEEE Trans. Antennas Propagat., vol. 53, no. 11, pp. 3616–3624, Nov. 2005. [28] R. C. Eberhart and Y. Shi, “Evolving artificial neural networks,” in Proc. 1998 Int. Conf. Neural Networks and Brain, Beijing, P.R.C., 1998. [29] M. Clerc and J. Kennedy, “The particle swarm–explosion, stability, and convergence in a multidimensional complex space,” IEEE Trans. Evol. Comput., vol. 6, no. 1, pp. 58–73, Feb. 2002. [30] P. N. Suganthan, “Particle swarm optimiser with neighbourhood operator,” in Proc. IEEE Int. Conf. Evolutionary Computation, vol. 3, pp. 101–106, 1999. [31] J. Kennedy and R. Eberhart, “A discrete binary version of the particle swarm algorithm,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, vol. 5, pp. 4104–4108, Oct. 1997. [32] X. Li, “A non-dominated sorting particle swarm optimizer for multiobjective optimization,” in Proc. Genetic Evol. Comput. Conf., Chicago, IL, pp. 37–48, 2003. [33] J. E. Fieldsand and S. Singh, “A multi-objective algorithm based upon particle swarm optimization, an efficient data structure and turbulence,” in Proc. U.K. Workshop Comput. Intell., Birmingham, U.K., pp. 37–44, 2002. [34] R. A. Fisher, “The arrangement of field experiments,” Journal of the Ministry of Agriculture of Great Britain, vol. 33, pp. 503–513, 1926. [35] D. C. Montgomery, Design and Analysis of Experiments. New York: Wiley, 2005. [36] A. C. Atkinson and A. N. Donev, Optimum Experimental Designs. New York: Oxford University Press, 1992. [37] G. E. P. Box and N. Draper, Empirical Model Building and Response Surfaces. New York: Wiley, 1987. [38] R. W. Mee, A Comprehensive Guide to Factorial Two-Level Experimentation. New York: Springer, 2009. [39] G. E. P. Box, W. G. Hunter, and J. S. Hunter, Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. New York: Wiley, 1978. [40] C. D. Lin and R. R. Sitter, “An isomorphism check for two-level fractional factorial designs,” Journal of Statistical Planning and Inference, vol. 138, pp. 1085–1101, 2008. [41] H. Xu, “Algorithmic construction of efficient fractional factorial designs with large run sizes,” Technometrics, vol. 51, no. 3, pp. 262–277, 2009. [42] D. Bingham and R. R. Sitter, “Minimum aberration two-level fractional factorial split-plot designs,” Technometrics, vol. 41, pp. 62–70, 1999. [43] M. F. Franklin, “Selecting defining contrasts and confounded effects in pn–m factorial experiments,” Technometrics, vol. 27, pp. 165–172, 1985. [44] M. S. Bartlett, “Properties of sufficiency and statistical tests,” Proceedings of the Royal Society, Series A, vol. 160, pp. 268–282, 1937. [45] C. Daniel, “Use of half normal plots in interpreting factorial two-level experiments,” Technometrics, vol. 1, pp. 311–341, 1959. [46] R. V. Lenth, “Quick and easy analysis of unreplicated factorial experiments,” Technometrics, vol. 31, pp. 469–473, 1989. [47] K. Ye and M. S. Hamada, “Critical values of the Lenth method for unreplicated factorial designs,” Journal of Quality Technology, vol. 32, no. 1, pp, 57–66, Jan. 2000. [48] M. S. Hamada and N. Balakrishnan, “Analyzing unreplicated factorial experiments: a review with some new proposals,” Statistica Sinica, vol. 8, pp. 1–41, 1998. [49] J. Lawson, S. Grimshaw, and J. Burt, “A quantitative method for identifying active contrasts in unreplicated factorial designs based on the half-normal plot,” Journal of Computational Statistics & Data Analysis, vol. 26, pp. 425–436, 1998. [50] G. E. P. Box and R. Meyer, “An analysis for unreplicated fractional factorials,” Technometrics, vol. 28, pp. 11–18, 1986. [51] G. Derringer and R. Suich, “Simultaneous optimization of several response variables,” Journal of Quality Technology, vol. 12, no. 4, pp. 214–219, Oct. 1980. [52] H.-W. Son and C.-S. Pyo, “Design of RFID tag antennas using an inductively coupled feed,” Electron. Lett., vol. 41, no. 18, pp. 994–996, Sep. 2005. [53] W. Choi, H. W. Son, C. Shin, J.-H. Bae and G. Choi, “RFID tag antenna with a meander dipole and inductively coupled feed,” in Proc. IEEE-APS Symp., Albuquerque, NM, Jul. 2006, pp. 619–622. [54] Impinj Inc, “The RFID antenna: maximum power transfer,” Impinj RFID Technology Series, pp. 1–3, 2005 [Online]. Available: http://www.impinj.com [55] P. V. Nikitin, K. V. S. Rao, S. F. Lam, V. Pillai, and H. Heintich, “Power reflection coefficient analysis for complex impedance in RFID tag design,” IEEE Trans. Microw. Theory Tech., vol. 53, no. 9, pp. 2721–2725, Sep. 2005. [56] D. Staiculescu, N. Bushyager, A. Obatoyinbo, L. Martin, and M. M. Tentzeris, “Design and optimization of 3-D compact stripline and microstrip Bluetooth/WLAN balun architectures using the design of experiments technique,” IEEE Trans. Antennas Propagat., vol. 53, no. 5, pp. 1805–1812, May 2005. [57] N. Bushyager, D. Staiculescu, L. Martin, N. Vasiloglou, and M. M. Tentzeris, “Design and optimization of 3-D RF modules, microsystems and packages using electromagnetic, statistical and genetic tools,” in IEEE ECTC Conf. Dog., June 2004, pp. 1412–1415. [58] D. Staiculescu, J. Laskar, and M. M. Tentzeris, “Design rule development for microwave flip-chip applications,” IEEE Trans. Microwave Theory Tech., vol. 48, no. 9, pp. 1476–1481, Sep. 2000. [59] L. Yang, L. Martin, D. Staiculescu, C. P. Wong, and M. M. Tentzeris, “Conformal magnetic composite RFID for wearable RF and bio-monitoring applications” IEEE Trans. Microw. Theory Tech., vol. 56, no. 12, pp. 3223–3230, Dec. 2008. [60] K. Finkenzeller, RFID Handbook: Radio-Frequency Identification Fundamentals and Applications. New York: Wiley, 2004. [61] V. Chawla and D.-S. Ha, “An overview of passive RFID,” IEEE Commun. Mag., vol. 45, no. 9, pp. 11–17, Sep. 2007. [62] G. De Vita and G. Iannaccone, “Design criteria for the RF section of UHF and microwave passive RFID transponders,” IEEE Trans. Microw. Theory Tech., vol. 53, no. 9, pp. 2978–2990, Sep. 2005. [63] A. Bletsas, A. G. Dimitriou, and J. N. Sahalos, “Improving backscatter radio tag efficiency,” IEEE Trans. Microw. Theory Tech., vol. 58, no. 6, pp. 1502–1509, June 2010. [64] K. Penttila, M. Keskilammi, L. Sydanheimo, and M. Kivikoski, “Radar cross-section analysis for passive RFID systems,” Inst. Elect. Eng. Proc., Microw. Antennas Propag., vol. 153, no. 1, pp. 103–109, Feb. 2006. [65] N. Kim, H. Kwon, J. Lee, and B. Lee, “Performance analysis of RFID tag antenna at UHF (911 MHz) band,” in Proc. IEEE Antennas Propag. Symp., pp. 3275–3278, Jul. 2006. [66] P. V. Nikitin, K. V. S. Rao, and R. Martinez, “Differential RCS of RFID tag,” Electron. Lett., vol. 43, no. 8, pp. 431–432, Apr. 2007. [67] H.-J. Li, C.-T. Lo, J.-Y. Chen, “Impedance loading state determination for UHF Passive RFID Applications,” in Proc. of the IEEE Ant. and Propag. Int. Symp. 2007, pp. 1213–1216, June 2007. [68] C.-C. Yen, A. E. Gutierrez, D. Veeramani, and D. van der Weide, “Radar cross-section analysis of backscattering RFID tags,” IEEE Antennas Wireless Propag. Lett., vol. 6, pp. 279–281, June 2007. [69] C. A. Balanis, Antenna Theory: Analysis and Design. New York: Wiley, 2005. [70] G. T. Ruck, D. E. Barrick, W. D. Stuart and C. K. Krichbaum, Radar Cross Section Handbook. New York: Plenum Press, 1970. [71] R. B. Green, The General Theory of Antenna Scattering. OH: The Ohio State University Press, 1963. [72] U. Karthaus and M. Fischer, “Fully integrated passive UHF RFID transponder IC with 16.7-μW minimum RF input power,” IEEE J. Solid-State Circuits, vol. 38, no. 10, pp. 1602–1608, Oct. 2003. [73] A. Ricci, M. Grisanti, I. D. Munari, and P. Ciapolini, “Design of a low-power digital core for passive UHF RFID transponder,” in Proc 9th Euromicro. Conf. Digital Syst. Design, Sep. 2006, pp. 561–568. [74] J.-P. Curty, N. Joehl, C. Dehollain, and M. J. Declercq, “Remotely powered addressable UHF RFID integrated system,” IEEE J. Solid-State Circuits, vol. 40, no. 11, pp. 2193–2202, Nov. 2005. [75] Intermec Technologies Corp.. West Everett, WA [Online]. Available: http://www.intermec.com [76] Applied Wireless Identifications Group, Inc.. Monsey, NY [Online]. Available: http://www.awid.com [77] Symbol Technologies, Inc.. Holtsville, NY 11742-1300 [Online]. Available: http://www.symbol.com [78] SAMSys Technologies, Inc.. Ontario, Canada [Online]. Available: http://www.samsys.com [79] X. Chen, G. Gu, S.-X. Gong, Y.-L. Yan, and W. Zhao, “Circularly polarized stacked annular-ring microstrip antenna with integrated feeding network for UHF RFID readers,” IEEE Antennas Wireless Propag. Lett., vol. 9, pp. 542–545, June 2010. [80] Z. N. Chen, X. M. Qing, and H. L. Chung, “A universal UHF RFID reader antenna,” IEEE Trans. Microw. Theory Tech., vol. 57, no. 5, pp. 1275–1282, May 2009. [81] P. V. Nikitin and K. V. S. Rao, “Helical antenna for handheld UHF RFID reader,” IEEE 2010 International Conference on RFID, pp. 166–173, May 2010. [82] A. Ghiotto, T. P. Vuong, and K. Wu, “Novel design strategy for passive UHF RFID tags,” 2010 Int. Symp. Antenna Technology and Applied Electromagnetics and the American Electromagnetics Conference, Aug. 2010. [83] Monza 4 tag chip datasheet, [Online]. Available: http://www.impinj.com [84] T. J. Warnagiris and T. J. Minardo, “Performance of a meander line as electrically small transmitting antenna,” IEEE Trans. Antennas Propagat., vol. 46, pp. 1797–1876, Dec. 1998. [85] G. Marrocco, “Gain-optimized self-resonant meander line antennas for RFID applications,” IEEE Antennas Wireless Propag. Lett., vol. 2, pp. 302–305, 2003. [86] J. Ahn, H. Jang, H. Moon, J.-W. Lee, and B. Lee, “Inductively coupled compact RFID tag antenna at 910 MHz with near-isotropic radar cross section (RCS) patterns,” IEEE Antenna Wireless Propat. Lett., vol. 6, pp. 518–520, 2007. [87] W. Kahn and H. Kurss, “Minimum-scattering antennas,” IEEE Trans. Antennas Propagat., vol. 13, no. 5, pp. 671–675, Sep. 1965. [88] P. V. Nikitin and K. V. S. Rao, “Theory and measurement of backscattering from RFID tags,” IEEE Antennas Prop. Mag., vol. 48, no. 6, pp. 212–218, Dec. 2006. [89] R. Harrington, “Electromagnetic scattering by antennas,” IEEE Trans. Antennas Propagat., vol. 11, no. 5, pp. 595–596, Sep. 1963. [90] M. O. White, “Radar cross-section: Measurement, prediction, control,” Electron. Commun. Eng. J., vol. 10, no. 4, pp. 169–180, Aug. 1998. [91] A. Aleksieieva and M. Vossiek, “Design and optimization of amplitude-modulated microwave backscatter transponders,” 2010 German Microwave Conference, pp. 134–137, Jul. 2010. [92] M. P. Bendsøe and N. Kikuchi, “Generating optimal topologies in structural design using a homogenization method,” Comput. Methods in Appl. Mech. Eng., vol. 71, pp. 197–224, 1988. [93] D. N. Dyck and D. A. Lowther, “Automated design of magnetic devices by optimizing material distribution,” IEEE Trans. Magn., vol. 32, no. 3, pp. 1188–1193, May 1996. [94] J. M. Johnson and Y. Rahmat-Samii, “A novel integration of genetic algorithms and method of moments (GA/MoM) for antenna design,” 1997 Applied Computational Electromagnetics Society Symposium Proceedings, Volume 2, Monterey, CA, March 17–21, pp. 1374–1381, 1997. [95] C. Delabie, M. Villegas and O. Picon, “Creation of new shapes for resonant microstrip structures by means of genetic algorithms,” Electron. Lett., vol. 33, no. 18, pp. 1509–1510, Aug. 1997. [96] L. Alatan, M. I. Aksum, K. Leblebicioglu, and M. T. Birand, “Use of computationally efficient method of moments in the optimization of printed antennas,” IEEE Trans. Antennas Propagat., vol. 47, pp. 725–731, Apr. 1999. [97] J. M. Johnson and Y. Rahmat-Samii, “Genetic algorithms and method of moments (GA/MOM) for the design of integrated antennas,” IEEE Trans. Antennas Propagat., vol. 47, pp. 1606–1614, Oct. 1999. [98] H. Choo, A. Hutani, L. Trintinalia, and H. Ling, “Shape optimization of broadband microstrip antennas using genetic algorithm,” IEE Electron. Lett., vol. 36, pp. 2057–2058, Dec. 2000. [99] D. S. Weile and E. Michielssen, “The use of domain decomposition genetic algorithms exploiting model reduction for the design of frequency selective surfaces,” Comput. Methods in Appl. Mech. Eng., vol. 186, pp. 439–458, 2000. [100] H, Choo and H. Ling, “Design of multiband microstrip antennas using a genetic algorithm,” IEEE Microwave and Wireless Component Letter, vol. 12, no. 9, pp. 345–347, Sep. 2002. [101] N. Herscovici, M. F. Osorio, and C. Peixeiro, “Miniaturization of rectangular microstrip patches using genetic algorithms,” IEEE Antennas Wireless Propag. Lett., vol. 1, pp. 94–97, 2002. [102] Z. Li, Y. E. Erdemli, J. L. Volakis, and P. Y. Papalambros, “Design optimization of conformal antennas by integrating stochastic algorithms with the hybrid finite-element method,” IEEE Trans. Antennas Propagat., vol. 50, no. 5, pp. 676–684, May 2002. [103] F. J. Villegas, T. Cwik, Y. Rahmat-Samii, and M. Manteghi, “A parallel electromagnetic genetic-algorithm optimization (EGO) application for patch antenna design,” IEEE Trans. Antennas Propagat., vol. 52, no. 9, pp. 2424–2435, Sep. 2004. [104] P. Soontornpipit, C. M. Furse, and Y. C. Chung, “Miniaturized biocompatible microstrip antenna using genetic algorithm,” IEEE Trans. Antennas Propagat., vol. 53, no. 6, pp. 1939–1945, June 2005. [105] L. A. Griffiths, C. Furse, and Y. C. Chung, “Broadband and multiband antenna design using the genetic algorithm to create amorphous shapes using ellipses,” IEEE Trans. Antennas Propagat., vol. 54, no. 10, pp. 2776–2782, Oct. 2006. [106] S. Koulouridis, D. Psychoudakis, J. L. Volakis, “Multiobjective optimal antenna design based on volumetric material optimization,” IEEE Trans. Antennas Propagat., vol. 55, no. 3, pp. 594–603, Mar. 2007. [107] A. Modiri and K. Kiasaleh, “Efficient design of microstrip antennas for SDR applications using modifies PSO algorithm,” IEEE Trans. Magn., vol. 47, no. 5, pp. 1278–1281, May 2011. [108] J. Kovitz and Y. Rahmat-Samii, “Micro-actuated pixel patch antenna design using particle swarm optimization,” IEEE AP-S International Symposium and URSI Radio Science Meeting, Spokane, WA, Jul. 2011. [109] A. J. Kerkhoff, R. L. Rogers, and H. Ling, “Design and analysis of planar monopole antennas using a genetic algorithm approach,” IEEE Trans. Antennas Propagat., vol. 52, no. 10, pp. 2709–2718, Oct. 2004. [110] A. J. Kerkhoff and H. Ling, “Design of a bandnotched planar monopole antenna using genetic algorithm optimization,” IEEE Trans. Antennas Propagat., vol. 55, no. 3, pp. 604–610, May 2007. [111] N. Jin and Y. Rahmat-Samii, “Hybrid real-binary particle swarm optimization (HPSO) in engineering electromagnetics,” IEEE Trans. Antennas Propagat., vol. 58, no. 12, pp. 3786–3794, Dec. 2010. [112] E. L. Lawler and D. E. Wood, “Branch-and-bound methods: A survey,” Operational Research, vol. 14, pp. 699–719, 1966. [113] R. S. Garfinkel and G. L. Nemhauser, Integer Programming. New York: Wiley, 1972. [114] S. S. Rao, Engineering Optimization: Theory and Practice. New York: Wiley, 1996. [115] O. Sigmund, “A 99 line topology optimization code written in Matlab,” Struct. Multidiscip. Opt., vol. 21, pp. 120–127, 2001. [116] K. Svanberg, “The method of moving asymptotes,” Int. J. Num. Meth. Eng., vol. 24, pp. 359–373, 1987. [117] M. P. Bendsøe and O. Sigmund, Topology Optimization–Theory, Methods, and Applications. New York: Springer, 2003. [118] A. Erentok and O. Sigmund, “Topology optimization of sub-wavelength antennas,” IEEE Trans. Antennas Propagat., vol. 59, no. 1, pp. 58–69, Jan. 2011. [119] Ansoft Corporation, Introduction to Scripting in HFSS. CA: Ansoft, 2003. [120] M. Adlemen, “Algorithm number theory–The complexity contribution,” in Proceedings of the 35th Annual Symposium on Foundations of Computer Science, IEEE Computer Society Pres, Los Alamitos, CA, pp. 88–113, 1994. [121] Y. Leung and Y. Wang, “An orthogonal genetic algorithm with quantization for global numerical optimization,” IEEE Trans. Evol. Comput., vol. 5, pp. 41–53, Feb. 2001. [122] Z. Bayraktar, P. L. Werner, and D. H. Werner, “Miniaturization of stochastic linear phased arrays via orthogonal design initialization and a hybrid particle swarm optimizer,” in IEEE International Symposium on Antennas and Propagation and URSI National Radio Science Meeting, Albuquerque, NM, Jul. 2006. [123] A. S. Hedayat, N. J. A. Sloane, and J. Stufken, Orthogonal Arrays: Theory and Applications. New York: Springer, 1999. [124] J. P. Cohoon and W. Paris, “Genetic placement,” in Proc. IEEE Int. Conf. Computer-Aided Design, 1986, pp 422–425. [125] C. A. Anderson, K. F. Jones, and J. Ryan, “A two-dimensional genetic algorithm for the Ising problem,” Complex Syst., vol. 5, pp. 327–335, 1991. [126] C. Kane and M. Schoenauer, “Topological optimum design using genetic algorithms,” Control and Cybernetics, vol. 25, no. 5, 1996. [127] G. Harik, E. Cantu-Paz, D. E. Goldberg, and B. L. Miller, “The gambler’s ruin problem, genetic algorithms, and the sizing of populations,” in Proc. 4th IEEE Conf. Evolutionary Computation, pp. 7–12, 1997. [128] S.-C. Chen, Y.-S. Wang, and S.-J. Chung, “A decoupling technique for increasing the port isolation between two strongly coupled antennas,” IEEE Trans. Antennas Propagat., vol. 56, no. 12, pp. 3650–3658, Dec. 2008. [129] K. G. Y. Ding, Z. Du, and Z. Feng, “A novel dual-band printed diversity antenna for mobile terminals,” IEEE Trans. Antennas Propagat., vol. 55, no. 7, pp. 2088–2096, Jul. 2007. [130] A. Diallo, C. Luxey, P. L. Thuc, R. Staraj, and G. Kossiavas, “Study and reduction of the mutual coupling between two mobile phone PIFAs operating in the DCS1800 and UMTS bands,” IEEE Trans. Antennas Propagat., vol. 54, no. 11, pp. 3063–3073, Nov. 2006. [131] A. C. K. Mak, C. R. Rowell, and R. D. Murch, “Isolation enhancement between two closely packed antennas,” IEEE Trans. Antennas Propagat., vol. 56, no. 11, pp. 3411–3419, Nov. 2008. [132] J. C. Coetzee and Y. Yu, “Port decoupling for small arrays by means of an eigenmode feed network,” IEEE Trans. Antennas Propagat., vol. 56, no. 6, pp. 1587–1593, June 2008. [133] M. Karaboikis, C. Soras, G. Tsachtiris, and V. Makios, “Compact dual-printed inverted-F antenna diversity systems for portable wireless devices,” IEEE Antennas Wireless Propag. Lett., vol. 3, pp. 9–14, 2004. [134] B. Mohjer-Iravani, S. Shahparnia, and O. M. Ramahi, “Coupling reduction in enclosures and cavities using electromagnetic band gap structures,” IEEE Trans. Electromagn. Compat., vol. 48, no. 2, pp. 292–303, May 2006. [135] S. Y. Lin, “Multiband folded planar monopole antenna for mobile handset,” IEEE Trans. Antennas Propagat., vol. 52, pp. 1790–1794, Jul. 2004. [136] R. A. Bhatti and S. O. Park, “Octa-band internal monopole antenna for mobile phone applications,” Electron. Lett., vol. 44, pp. 1447–1448, Dec. 2008. [137] Z. Du, K. Gong, and J. S. Fu, “A novel compact wide-band planar antenna for mobile handsets,” IEEE Trans. Antennas Propagat., vol. 54, pp. 613–619, Feb. 2006. [138] C.-H. Chang and K.-L. Wong, “Printed λ/8-PIFA for penda-band WWAN operation in the mobile phone,” IEEE Trans. Antennas Propagat., vol. 57, no. 5, pp. 1373–1381, May 2009. [139] M. F. Abedin and M. Ali, “Modifying the ground plane and its effect on planar inverted-F antennas (PIFAs) for mobile phone handsets,” IEEE Antennas Wireless Propag. Lett., vol. 2, pp. 226–229, 2003. [140] O. Quevedo-Teruel, E. Pucci, and E. Rajo-Iglesias, “Compact loaded PIFA for multi-frequency applications,” IEEE Trans. Antennas Propagat., vol. 58, no. 3, pp. 656–664, Mar. 2010. [141] A. A. Minasian, T. S. Bird, and J. Atai, “Particle swarm antennas for wireless communication systems,” in Proc. 5th European Conference on Antennas and Propagation, EuCAP 2011, pp. 857–859, Apr. 2011. [142] G. Kiziltas, D. Psychoudakis, J. L. Volakis and N. Kikuchi, “Topology design optimization of dielectric substrates for bandwidth improvement of a patch antenna,” IEEE Trans. Antennas Propagat., vol. 51, no. 10, pp. 2732–2743, Oct. 2003. [143] L. Lizzi and A. Massa, “Dual-band printed fractal monopole antenna for LTE applications,” IEEE Antennas Wireless Propag. Lett., vol. 10, pp. 760–763, 2011. [144] J. Martinez-Fernandez, J. M. Gil, and J. Zapata, “Ultrawideband optimized profile monopole antenna by simulated annealing algorithm and the finite element method,” IEEE Trans. Antennas Propagat., vol. 55, no. 6, pp. 1826–1832, June 2007. [145] M.-I. Lai and S.-K. Jeng, “Compact microstrip dual-band bandpass filters design using genetic-algorithm techniques,” IEEE Trans Microw. Theory Tech., vol. 54, no. 1, pp. 160–168, Jan. 2006. [146] S. Karimkashi and A. A. Kishk, “Invasive weed optimization and its features in electromagnetics,” IEEE Trans. Antennas Propagat., vol. 58, no. 4, pp. 1269–1278, Apr. 2010. [147] H. Choo and H. Ling, “Design of broadband and dual-band microstrip antennas on a high-dielectric substrate using a genetic algorithm,” IEE Proc. Microw. Antennas Propag., vol. 150, no. 3, pp. 137–142, June 2003. [148] W. Wang, Y. Lu, J. S. Fu, and Y. Z. Xiong, “Particle swarm optimization and finite-element based approach for microwave filter design,” IEEE Trans. Magn., vol. 41, no. 5, pp. 1800–1803, May 2005. [149] X.-X. Yang and J. Sheng, “Design of a band-notched UWB monopole using genetic algorithm combined with FDTD,” Global Symposium on Millimeter Waves, GSMM 2008, pp. 268–270, 2008. [150] J. E. Martin, M. F. Pantoja, and A. R. Bretones, “Exploration of multi-objective particle swarm optimization on the design of UWB antennas,” in Proc. 3rd European Conference on Antennas and Propagation, EuCAP 2009, pp. 561–565, Mar. 2009. [151] R. M. Fano, “Theoretical limitations on the broadband matching of arbitrarily impedances,” J. Franklin Institute, vol. 249, pp. 57–83, 1950. [152] M. Paquay, J.-C. Iriarte, I. Ederra, R. Gonzalo, and P. D. Maagt, “Thin AMC structure for radar cross-section reduction,” IEEE Trans. Antennas Propagat., vol. 55, no. 12, pp. 3630–3638, Dec. 2007. [153] N. Misran, R. Cahill, and V. F. Fusco, “Reduction technique for reflectarray antennas,” Electron. Lett., vol. 39, pp. 1630–1632, 2003. [154] W. Jiang, Y. Liu, S. X. Gong, and T. Hong, “Application of bionics in antenna radar cross section reduction,” IEEE Antennas Wireless Propag. Lett., vol. 8, pp. 1275–1278, 2009. [155] E. Michielssen and R. Mittra, “RCS reduction of dielectric cylinders using the simulated annealing approach,” IEEE Microwave and Guided Wave Letters, vol. 2, no. 2, pp. 146–148, Apr. 1992. [156] H. Mosallaei, Y. Rahmat-Samii, “RCS reduction of canonical targets using genetic algorithm synthesized RAM,” IEEE Trans. Antennas Propagat., vol. 48, no. 10, pp. 1594–1606, Oct. 2000. [157] B. Chaudhury and S. Chaturvedi, “Study and optimization of plasma-based radar cross section reduction using three-dimensional computations,” IEEE Trans. Plasma Sci., vol. 37, no. 11, pp. 2116–2127, Nov. 2009. [158] H. C. Strifors and G. C. Gauanurd, “Scattering of electromagnetic pulses by simple-shaped targets with radar cross section modified by a dielectric coating,” IEEE Trans. Antennas Propagat., vol. 46, no. 9, pp. 1252–1262, Sep. 1998. [159] J. Gianvittorio and Y. Rahmat-Samii, “Reconfigurable patch antennas for steerable reflectarray applications,” IEEE Trans. Antennas Propagat., vol. 54, no. 5, pp. 1388–1392, May 2006. [160] D. Sievenpiper, J. Schaffner, H. Song, R. Loo, and G. Tangonan, “Two-dimensional beam steering using an electrically tunable impedance surface,” IEEE Trans. Antennas Propagat., vol. 51, no. 10, pp. 2713–2722, Oct. 2003. [161] D. Sievenpiper, J. Schaffner, R. Loo, G. Tangonan, S. Ontiveros, and R. Harold, “A tunable impedance surface performing as a reconfigurable beam steering reflector,” IEEE Trans. Antennas Propagat., vol. 50, no. 3, pp. 384–390, Mar. 2002. [162] C. M. Coleman, E. J. Rothwell, J. E. Ross, and L. L. Nagy, “Self-structuring antennas,” IEEE Antennas Propagat. Mag., vol. 44, no. 3, pp. 11–23, June 2002. [163] L. Greetis, R. Ouedraogo, B. Greetis, and E. J. Rothwell, “A self-structuring patch antenna: Simulation and prototype,” IEEE Antennas Propagat. Mag., vol. 52, no. 1, pp. 114–123, Feb. 2010. [164] R. O. Ouedraogo, E. J. Rothwell, S.-Y. Chen, and B. J.Greetis, “An automatically tunable cavity resonator system,” IEEE Trans Microw. Theory Tech., vol. 58, pp. 894–902, Apr. 2010. [165] R. O. Ouedraogo, E. J. Rothwell, S.-Y. Chen, and A. Temme, “A self-tuning electromagnetic shutter,” IEEE Trans. Antennas Propagat., vol. 59, no. 2, pp. 513–519, Feb. 2011. [166] C. M. Coleman, E. J. Rothwell, and J. E. Ross, “Investigation of simulated annealing, ant-colony optimization, and genetic algorithms for self-structuring antennas,” IEEE Trans. Antennas Propagat., vol. 52, no. 4, pp. 1007–1014, Apr. 2004. [167] K. Barkeshli and J. L. Volakis, “Electromagnetic scattering from thin strips–Part I: Analytical solution for wide and narrow strips,” IEEE Trans. Educ., vol. 47, pp. 100–106, Feb. 2004. [168] K. Barkeshli and J. L. Volakis, “Electromagnetic scattering from thin strips–Part II: Numerical solution for thin strips of arbitrary size,” IEEE Trans. Educ., vol. 47, pp. 107–113, Feb. 2004. [169] M. D. Khashkind and L. A. Vainshteyn, “Diffraction of plane waves by a slit and a tape,” Radio Engineering Electronics, vol. 9, pp. 1492–1502, 1964. [170] C. M. Butler and D. R. Wilton, “General analysis of narrow strips and slots,” IEEE Trans. Antennas Propagat., vol. AP–28, pp. 42–48, Jan. 1980. [171] A. Colorni, M. Dorigo, F. Maffioli, V. Maniezzo, G. Righini, and M. Trubian, “Heuristics from nature for hard combinatorial optimization problems,” International Transactions in Operational Research, vol. 3, no. 1, pp. 1–21, 1996. [172] J. A. Snyman, Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. New York: Springer, 2005. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6869 | - |
dc.description.abstract | 本論文提出三種創新的電磁應用以改善傳統架構之限制並提升工作效率。藉
由最佳化方法的智能輔助,吾人所提出之精密結構得以實現,而複雜的可重組元 件之合成問題亦得以更有效率地解決。本論文所使用之最佳化方法包含實驗計畫 法與演化式演算法,分別應用於下列創新元件中。 吾人首先提出一款適用於無線射頻標籤系統之新型雙天線標籤架構。此新型 架構使用兩支獨立工作之天線,一支專職接收來自讀取機之訊號與功率,另一支 專職將所載資料後散射回讀取機。若妥善將接收天線之輸入阻抗與後級整流電路 之晶片阻抗設計為共軛匹配,接收天線便能連續接收來自讀取機之功率,使標籤 電路之供電更為穩定;此外,若將後散射天線於開路與短路間切換,並將其輸入 阻抗設計為純實數,則後散射天線能回傳最大之散射訊號差給讀取機,可大幅提 升系統之讀取距離及讀取可靠性。由於雙天線架構須整體考慮所有設計目標,並 降低兩支天線之互耦合量,因此吾人利用實驗計畫法來掌握多目標與天線幾何參 數間的函數關係,於0.1 λ 0 × 0.1 λ 0 的面積下成功實做出此雙天線架構。此新型標籤 之效能經實驗佐證,可大幅改善傳統結構下之接收及後散射限制。 其次,吾人發展出網格化天線自動設計程式。此設計工具整合全波電磁模擬 軟體以及數種單目標及多目標演化式演算法,當天線設計情境為給定設計面積並 須考量周圍環境時,此工具僅需將設計面積切割為若干網格,就能找出工作目標 下最適合的天線幾何形狀。吾人以一多輸入多輸出天線系統來驗證多目標最佳化 方法的效能,並針對實際應用中的頻寬考量設計一更有效率的演算法,藉以改善 傳統方法的限制。此方法以手機天線設計為例,設定工作目標為同時涵蓋698–960 兆赫以及1710–2170 兆赫,其最佳化結果經模擬及量測佐證後,證實所提出之策 略確實比傳統方式更勝任多頻且寬頻的工作目標。 最後,吾人提出一款創新之自組式電磁散射體。此自組式電磁散射體為首創 之智能散射平面;它能根據下達指令自行調整其電氣形狀,完成雷達截面積最小 化或最大化等工作目標。此自組式電磁散射體利用自組式元件之原理,使用多枚 繼電器連接細長金屬片;當繼電器各自於開、關兩狀態間切換,數十億種散射組 態因應產生。藉由適當之搜尋演算法來尋找各工作目標下之最佳開關組態,雷達 截面積特性得以隨心所欲地控制。吾人提出一創新之搜尋演算法,利用部分因子 實驗設計來估計各開關之作用以及開關間的交乘影響,能極有效率地解決此合成 求解問題。吾人亦實做出此自組式電磁散射體之量測系統,以實驗佐證雷達截面 積之最小化與最大化效能,證實它能自行重組為多角度之吸收體或增強反射面。 | zh_TW |
dc.description.abstract | In this dissertation, three innovative electromagnetic (EM) applications are
proposed to improve the efficiency and limitation of conventional employments. By using the intelligence of optimization methodologies, including design of experiments (DOE) and evolutionary algorithms, complex design processes and arduous synthesis problems are simplified and solved, and the proposed applications exhibit powerful and sophisticated capabilities which satisfy the original need. The first application is a novel dual-antenna structure for passive radio-frequency identification (RFID) tags. It is formed by two linearly tapered meander dipole antennas that are perpendicular to each other and connected to the slightly modified tag chip. One of the antennas is for receiving, while the other is for backscattering. The input impedance of the receiving antenna is designed to be conjugate matched to the highly capacitive chip impedance for the maximum power transfer. Meanwhile, the backscattering antenna is alternatively terminated by an open or a short circuit to modulate the backscattered field. By making the input impedance of the backscattering antenna real-valued, the maximum differential radar cross section (RCS) may be achieved leading to a longer read range and better reliability. With the aid of DOE, the proposed dual-antenna structure is designed to fit within a compact area of 32.8 × 32.8 mm2 while keeping relatively low mutual coupling between the two antennas. The impedance, receiving, and backscattering performances of the proposed dual-antenna structure are measured and simulated, and they agree very well. Also, it is demonstrated that the proposed dual-antenna structure outperforms the conventional single-antenna tag design in every respect. The second application is a competent antenna design tool based on the pixelized design technique. Merely with only a roughly-formed solution domain, this pixelized design tool is capable of automatically finding an antenna layout with performance satisfying the design needs. The pixelized design tool integrates a full-wave simulator and external optimization schemes, including various single-objective and multiobjective evolutionary algorithms. The capability of multiobjective operations is demonstrated by a multiple-input-multiple-output (MIMO) antenna system for handset applications, where the impedance matching of each antenna should be optimized and the mutual coupling between them should be minimized. In addition, an innovativeapproach for designing wide- and multi-band antennas within a small area is proposed and incorporated into this tool. The proposed method is verified through a handset antenna design, covering 698–960 MHz and 1710–2170 MHz. The simulated and measured results confirm that the proposed method can find an antenna configuration with satisfactorily wide bandwidth and outperforms the conventional approaches. The third application is a self-structuring electromagnetic scatterer (SSES). The SSES is the first intelligent reflective surface that can alter its electrical shape to fulfill various operational objectives, such as RCS reduction or RCS enhancement. The SSES template comprises segments of metallic thin strips interconnected via voltage-controlled switches. By opening or closing the switches, the phase of the field scattered by the strips changes, resulting in destructive or constructive interference in the total scattered field. The RCS of the SSES can thus be controlled. An efficient search algorithm based on the fractional factorial design of experiments (FFD) is adopted to find a suitable switch configuration for the SSES system. A SSES prototype was built and a series of RCS measurements were performed to demonstrate its capability to adaptively control the RCS. It is shown that the bistatic RCS can be significantly reduced in any specified direction and that the main beam maximum of the RCS pattern can be enhanced and steered within an angular range of 30 degrees. | en |
dc.description.provenance | Made available in DSpace on 2021-05-17T09:19:55Z (GMT). No. of bitstreams: 1 ntu-101-D98942005-1.pdf: 5175882 bytes, checksum: 7ff3fcc94acafd42cbc4ef0e2d2a7965 (MD5) Previous issue date: 2012 | en |
dc.description.tableofcontents | CONTENTS
摘要 i Abstract iii Contents v List of Figures ix List of Tables xv Chapter 1 Introduction 1 1.1 Research Motivation..........................................................................................1 1.2 General Concepts of Evolutionary Algorithms and Design of Experiments.....2 1.3 Chapter Outlines................................................................................................4 Chapter 2 Overview of Optimization Methods in Electromagnetic Problems 7 2.1 Introduction.......................................................................................................7 2.2 Genetic Algorithms............................................................................................8 2.2.1 Simple GA Mechanisms....................................................................9 2.2.2 Multiobjective GA...........................................................................12 2.3 Particle Swarm Optimization...........................................................................13 2.3.1 PSO Mechanisms.............................................................................14 2.3.2 Binary Particle Swarm Optimization...............................................16 2.3.3 Multiobjective PSO.........................................................................17 2.4 Design of Experiments....................................................................................19 2.4.1 Pre-Experimental Planning..............................................................19 2.4.2 Phase 1: Design of Experiments......................................................20 2.4.3 Phase 2: Analysis of Experiments...................................................25 2.4.4 An Example: Design and Optimization of an Inductive-Loop-Fed Meander Dipole for Passive RFID Tags..........................................32 Chapter 3 A Novel Dual-Antenna Structure for Passive UHF RFID Tags 47 3.1 Introduction.....................................................................................................47 3.2 Proposed Tag Structure....................................................................................48 3.2.1 Reception and Backscattering in RFID Tags...................................48 3.2.2 Dual-Antenna Tag Structure............................................................50 3.3 Design Methodology........................................................................................52 3.3.1 Statistical Model Building...............................................................55 3.3.2 Optimization of Multiple Responses...............................................70 3.4 Experimental Verification................................................................................70 3.4.1 Isolation and Antenna Impedances..................................................72 3.4.2 Receiving Performance....................................................................75 3.4.3 Backscattering Performance............................................................78 3.5 Summary and Discussion................................................................................83 Chapter 4 A Competent Pixelized Design Tool and Wide- and Multi-Band Antenna Designs 85 4.1 Introduction.....................................................................................................85 4.2 An Overview of the Pixelized Design Technique............................................86 4.2.1 Problem Formulation.......................................................................87 4.2.2 Continuous Optimization Approach................................................87 4.2.3 Discrete Optimization Approach.....................................................89 4.3 Implementation of the Pixelized Design Tool.................................................90 4.3.1 Integration of Evolutionary Algorithms with HFSS........................90 4.3.2 Capability of the Pixelized Design Tool Developed at NTU..........91 4.4 Investigation of Single-Objective Competence...............................................93 4.4.1 Initialization Condition....................................................................94 4.4.2 Searching Efficacy of Simple GAs..................................................98 4.4.3 Searching Efficacy of BPSO.........................................................101 4.4.4 Remark...........................................................................................105 4.5 Demonstration of Multiobjective Competence..............................................105 4.5.1 Design Considerations...................................................................105 4.5.2 Results and Discussion..................................................................106 4.6 Wide- and Multi-Band Pixelized Antenna Designs.......................................110 4.6.1 Design Considerations...................................................................110 4.6.2 Conventional Objective Functions.................................................111 4.6.3 General Rules for Objective Functions..........................................114 4.6.4 A Novel Multiobjective-Based Method for Wide- and Multi-Band Antenna Designs............................................................................117 4.6.5 Second-Stage Design.....................................................................119 4.7 Summary........................................................................................................120 Chapter 5 A Self-Structuring Electromagnetic Scatterer 123 5.1 Introduction...................................................................................................123 5.2 SSES Design..................................................................................................124 5.2.1 System Setup.................................................................................124 5.2.2 SSES Template..............................................................................125 5.3 Implementation of Search Algorithms...........................................................128 5.3.1 Phase 1: Design of Experiments....................................................130 5.3.2 Phase 2: Analysis of Experiments.................................................130 5.4 Prototype and Experimental Results..............................................................132 5.4.1 RCS Reduction..............................................................................136 5.4.2 RCS Enhancement.........................................................................142 5.5 Evaluation of Search Algorithms...................................................................147 5.6 Summary........................................................................................................147 Chapter 6 Conclusions 149 6.1 Summary........................................................................................................149 6.1.1 A Novel Dual-Antenna Structure for passive RFID Tags.............149 6.1.2 A Competent Pixelized Design Tool..............................................150 6.1.3 A Self-Structuring Electromagnetic Scatterer................................150 6.2 Future Work...................................................................................................151 6.2.1 Efficacy Enhancement of the Pixelized Design Tool....................151 6.2.2 Enhancement of Tunable Phase Range in SSES...........................152 References 153 List of Publications 169 | |
dc.language.iso | en | |
dc.title | 應用最佳化方法於自組式電磁散射體及天線效能之提升 | zh_TW |
dc.title | Applications of Optimization Techniques to Self-Structuring Electromagnetic Scatterers and Antenna Performance Enhancements | en |
dc.type | Thesis | |
dc.date.schoolyear | 100-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 許博文(Powen Hsu),吳瑞北(Ruey-Beei Wu),張道治(Dau-Chyrh Chang),鍾世忠(Shyh-Jong Chung),林根煌(Ken-Huang Lin) | |
dc.subject.keyword | 最佳化方法,電磁散射,無線射頻標籤系統,天線設計, | zh_TW |
dc.subject.keyword | Optimization techniques,Electromagnetic scattering,RFID,Antenna design, | en |
dc.relation.page | 170 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2012-06-25 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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