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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61631
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dc.contributor.advisor李枝宏
dc.contributor.authorKao-Chu Hsiaoen
dc.contributor.author蕭高竹zh_TW
dc.date.accessioned2021-06-16T13:07:53Z-
dc.date.available2015-08-07
dc.date.copyright2013-08-07
dc.date.issued2013
dc.date.submitted2013-08-01
dc.identifier.citation[1] T. Jiann-An and B. D. Woerner, “The fading correlation function of a circular antenna array in mobile radio environment,” in Proceedings of Global Telecommunications Conference (GLOBECOM 2001), San Antonio, Texas, U.S., vol. 5, pp. 3232-3236, Nov. 25-29, 2001.
[2] J. Salz and J. H. Winters, “Effect of fading correlation on adaptive arrays in digital mobile radio,” IEEE Transactions on Vehicular Technology, vol. 43, no. 4, pp. 1049-1057, Nov. 1994.
[3] K. Ishizawa, J. Zhou, S. Sasaki, S. Muramatsu and H. Kikuchi, “Spatial correlation of a circular array antenna and BER performance investigation,” in Proceedings of the 2004 IEEE Asia-Pacific Conference on Circuits and Systems, Tainan, Taiwan, pp. 385-388, Dec. 6-9, 2004.
[4] X. Li and Z.-P. Nie, “Impact of array orientation on performance of MIMO wireless channels,” in Proceedings of International Conference on Communications, Circuits and Systems 2004 (ICCCAS 2004), Chengdu, China, pp. 254-257, Jun. 27-29, 2004.
[5] J. Wang, Q. Zhou, J. Dou and L. Qiu, “On the channel capacity of MIMO systems under correlated Rayleigh fading,” in Proceedings of the 3rd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2007), Shanghai, China, pp. 134-136, Sep. 21-25, 2007.
[6] L. Xia and M. E. Bialkowski, “Effective degree of freedom and channel capacity of a MIMO system employing circular and linear array antennas,” in Proceedings of the 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2009), Beijing, China, pp. 1-4, Sep. 24-26, 2009.
[7] S. K. Yong and J. S. Thompson, “Three-dimensional spatial fading correlation models for compact MIMO receivers,” IEEE Transactions on Wireless Communications, vol. 4,no. 6, pp. 2856-2869, Nov. 2005.
[8] 鄭景嘉, “Performance analysis and optimization of antenna array geometries on wireless communication systems,” 國立台灣大學電信工程研究所碩士論文, 2011.
[9] J.-H Lee and C.-C Cheng, “The spatial correlation characteristics of 3-D antenna array systems,” in Proceedings of the 54TH IEEE International Midwest Symposium on Circuit and System(MWSACS), Seoul, Korea, pp. 1-4, Aug. 7-11, 2011.
[10] 李受益, “Research of performance of wireless communication systems using adaptive antenna arrays,” 國立台灣大學電信工程研究所碩士論文, 2009.
[11] V. Murino, A. Trucco, and C. S. Regazzoni, “Synthesis of unequally spaced arrays by simulated annealing,” IEEE Transactions on Signal Processing, vol. 44, no. 1, pp. 119-122, Jan. 1996.
[12] M. M. Khodier and C. G. Christodoulou, “Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization,” IEEE Transactions on Antennas and Propagation, vol. 53, no. 8, pp. 2674-2679, Aug. 2005.
[13] U. Olgun, C. A. Tunc, D. Aktas, V. B. Erturk, and A. Altintas, “Optimization of linear wire antenna arrays to increase MIMO capacity using swarmIntelligence,” in Proceedings of the 2nd European Conference on Antennasand Propagation (EuCAP 2007), Edinburgh, UK, pp. 1-6, Nov. 11-16, 2007.
[14] M. A.-A. Mangoud, “Optimization of channel capacity for indoor MIMO systems using genetic algorithm,” Progress In Electromagnetics Research C, vol. 7, pp. 137-150, 2009.
[15] J. Zhou, J.F. Chen, L. Qiuand,and H, Kikuchi, “Effects of antenna correlation and mutual coupling on the performance of MIMO system in a three-dimensional multipath channel ,” in Proceedings of 5th Global Symposium on Millimeter Waves (GSMM 2012), Harbin, China, pp. 139-142, May 27-30, 2012.
[16] I. S. Gradshtein and I. M. Ryzhik, Table of Integrals, Series, and Products, Academic Press, San Diego, 2000.
[17] D. Tse and P. Viswanath, Fundamentals of Wireless Communications, Cambridge University Press, New York, 2005.
[18] W. Weichsellberger, M. Herdin and H. Ozcelik, “A stochastic MIMO channel model with joint correlation of both link ends,” IEEE Transactions on Wireless Communications, vol. 5, no. 1, pp. 90-100, Jan. 2006.
[19] A. Goldsmith, S. A. Jafar, N. Jindal and S. Vishwanath, “Capacity limits of MIMO channels,” IEEE Journal on Selected Areas in Communications, vol. 21, no. 5, pp. 684-702, Jun. 2003.
[20] J. Kennedy and R. Eberhert, ”Particle swarm optimization,” in Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol. 4, pp. 1942-1948, Nov.-Dec. 1995.
[21] J. Robison and Y. Rahmat-Samii, ”Particle swarm optimization in electromagnetics, ” IEEE Transactions on Antennas and Propagation, vol. 52, no. 2, pp. 397-407, Feb. 2004.
[22] H. A. Hefny and S. S. Azab, “Chaotic particle swarm optimization,” in Proceedings of the 7th International Conference on Informatics and Systems (INFOS), Cairo, Egypt, pp. 1-8, Mar. 28-30, 2010.
[23] C. A. Balanis, Antenna Theory: Analysis and Design, Wiley, New York, 1997.
[24] K. R. Dandekar, H. Ling and G. Xu, “Experimental study of mutual coupling compensation in smart antenna applications,” IEEE Transactions on Wireless Communications, vol. 1, no. 3, Jul. 2002.
[25] S. Durrani and M. E. Bialkowski, “Effect of mutual coupling on the interference rejection capabilities of linear and circular arrays in CDMA systems,” IEEE Transactions on Antennas and Propagation, vol. 52, no. 4, Apr. 2004.
[26] 陳彥霖, “An efficient method and the performance analysis of antenna array beamforming under mutual coupling effects,” 國立台灣大學電信工程研究所碩士論文, 2008.
[27] 李佳翰, “Optimization of antenna arrays for the channel capacity of MIMO wireless communication systems,” 國立台灣大學電信工程研究所碩士論文, 2013.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61631-
dc.description.abstract在無線通訊系統中,多路徑問題造成了通道衰落進而影響通訊品質及可靠度,而多輸入多輸出(MIMO)系統能利用衰落通道間獨立的特性,以及空間多工技術來提高傳輸品質與速率,多輸入多輸出系統利用多天線陣列作為其傳送端以及接收端,本研究著重在多天線陣列對於通訊系統的影響。本論文研究之多天線陣列造成的影響有兩種,其一,天線陣列幾何結構影響空間相關性,空間相關性進而影響通訊系統的通道容量;第二個影響為天線間相互耦合(Mutual coupling)效應。本論文將考慮以上兩個效應,並採用通道容量作為通訊系統效能的指標,利用群粒子最佳化演算法在一定搜尋範圍內找到擁有最大通道容量的天線陣列,並且模擬常見之均勻分布線性陣列、均勻分布圓形陣列及同心圓陣列,討論空間相關性及天線耦合效應對於通道容量的影響,並且比較相同大小且入射環境相同的天線陣列效能差異,以及與其相同情況下之最佳化天線陣列之差異。zh_TW
dc.description.abstractIn wireless communication systems, channel fading caused by multipath propagation influences the reliability of information transmission and transmission quality. To provide higher transmission quality and spectral efficiency, MIMO uses the characteristic of independence between fading channels and the spatial multiplexing. As MIMO systems uses the multi-antenna array as its receiver and transmitter, our research focuses on the effects produced by multi-antenna array on communication systems. In our research, we consider two effects of multi-antenna array. The first effect is spatial correlation. Spatial correlation caused by array geometries, reduces the channel capacity. The second effect is the mutual coupling between the antennas. Our research considers these two effects, and discusses communication system performance using channel capacity. In our research simulation, we search the optimal array geometry in order to maximize channel capacity using particle swarm optimization. Moreover, we analyze the performance of channel capacity using uniform linear array (ULA), uniform circular array (UCA) and concentric ring array (CRA). Finally, we compare the channel capacity between these different array geometries, considering spatial correlation and mutual coupling.en
dc.description.provenanceMade available in DSpace on 2021-06-16T13:07:53Z (GMT). No. of bitstreams: 1
ntu-102-R00942102-1.pdf: 9790101 bytes, checksum: cd04d67418432d6ac0099e3b217d29fa (MD5)
Previous issue date: 2013
en
dc.description.tableofcontents目錄
摘要 i
Abstract ii
目錄 iii
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 論文之主要貢獻 3
1.4 論文之組織架構 3
第二章 天線之空間相關性推導 4
2.1 座標系 5
2.2 二維空間相關性公式 6
2.2.1 公式推導 6
2.2.2 二維空間相關性模擬 9
2.3 三維空間相關性公式 24
2.3.1 公式推導 24
2.3.2 三維空間相關性模擬 26
第三章 二維及三維擴散環境下考慮空間相關性之天線陣列效能分析與最佳化 41
3.1 系統模型 42
3.2 通道容量 43
3.3 通道容量上界 43
3.4 最佳化演算法 46
3.4.1 粒子群最佳化演算法(Particle Swarm Optimization, PSO) 46
3.4.2 混屯粒子群最佳化演算法(Chaotic Particle Swarm Optimization, CPSO) 48
3.4.3 改良型粒子群最佳化演算法(The proposed Chaotic PSO, CHOPSO) 50
3.5 二維天線陣列幾何結構最佳化及模擬結果 51
3.6 三維天線陣列幾何結構最佳化及模擬結果 64
第四章 三維擴散環境下考慮Mutual coupling之天線陣列效能分析與最佳化 93
4.1 天線間交互耦合現象(Mutual coupling) 94
4.1.1 天線交互耦合(mutual coupling)現象及C矩陣推導 94
4.1.2 常用天線陣列幾何結構之C矩陣 96
4.2 考慮mutual coupling對於通道容量的影響 98
4.2.1 天線陣列幾何結構最佳化流程 98
4.2.2 天線陣列幾何結構最佳化模擬結果 103
第五章 三維擴散環境下考慮空間相關性與Mutual coupling之天線陣列效能分析與最佳化 116
5.1 考慮mutual coupling之的空間相關性公式推導 117
5.2 考慮空間相關性與mutual coupling對於通道容量的影響 121
5.2.1 天線陣列幾何結構最佳化流程 121
5.2.2 天線陣列幾何結構最佳化模擬結果 122
第六章 不同通道環境下最佳化通道容量比較 135
6.1 Kronecker model之單端及兩端天線陣列最佳化結果 136
6.2 Rayleigh-Lognormal fading channel與Rayleigh fading channel模擬結果比較 143
6.2.1 圖型比較與討論 144
6.2.2 數據比較 162
第七章 總結及未來研究方向 178
Appendix 180
參考文獻 183
dc.language.isozh-TW
dc.subject天線耦合zh_TW
dc.subject天線陣列zh_TW
dc.subject最佳化zh_TW
dc.subject通道容量zh_TW
dc.subjectoptimizationen
dc.subjectmutual couplingen
dc.subjectchannel capacityen
dc.subjectantenna arraysen
dc.title使用天線陣列對於無線通訊系統通道容量影響之研究zh_TW
dc.titleResearch of the effects on the Channel Capacity of Wireless Communication systems using Antenna Arraysen
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳巽璋,劉玉蓀,方文賢
dc.subject.keyword天線陣列,最佳化,通道容量,天線耦合,zh_TW
dc.subject.keywordantenna arrays,optimization,channel capacity,mutual coupling,en
dc.relation.page186
dc.rights.note有償授權
dc.date.accepted2013-08-01
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
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