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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 曹建和(Jen-Ho Tsao) | |
| dc.contributor.author | Jiun-Hau Tzeng | en |
| dc.contributor.author | 曾俊豪 | zh_TW |
| dc.date.accessioned | 2021-06-15T01:12:23Z | - |
| dc.date.available | 2016-08-19 | |
| dc.date.copyright | 2011-08-19 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-16 | |
| dc.identifier.citation | [1] T. H. Eggen, A. B. Baggeroer, and J. C. Preisig, “Communication over Doppler spread channels—Part I: Channel and receiver presentation,” IEEE J. Ocean Eng., pp. 62–72, Jan. 2000.
[2] Samir R. Govilkar, “A Simulator for Microcontroller-based Underwater Ultrasonic Communications,” Master thesis, Computer Engineering, North Carolina State University, 2006. [3] Xavier Lurton, “An Introduction to Underwater Acoustics : Prinicples and Applications,” Praxis Publishing Ltd, Chichester, UK, 2002. [4] Herman Medwin and colleagues, “Sounds in the Sea : From Ocean acoustics to Acoustical Oceanography”, Cambridge University Press, 2005. [5] A. Falahati, “Underwater acoustic channel models for 4800 b/s QPSK signals,” IEEE J. Ocean Eng., vol. 16, pp. 12–21, Jan. 1991. [6] G. M. Wenz, “Acoustic ambient noise in the ocean: spectra and sources,” J. Acoust. Soc. Am. 34, 1936-1956, 1962. [7] R. J. Urick, “Ambient Noise in the Sea,” Naval Sea Systems Command, Department of the Navy, Washington, D.C. 20362, 1984. [8] S. Ramp, T. Tang, T. Duda, J. Lynch, A. Liu, C. Chiu, … Y. Yang, “Internal Solitons in the northeastern south China Sea. Part I: Sources and deep water propagation,” IEEE Journal Of Oceanic Engineering, vol. 29, pp. 1157-1181, 2004. [9] Bertolotto, T. Jenserud, and P. A. van Walree, “Initial design of an acoustic communication channel simulator,” in UDT Europe 2007,Naples, Italy, June 2007. [10] Paul A. van Walree, “A Discrete-Time Channel Simulator Driven by Measured Scattering Functions,” IEEE Journal on selected areas in communications, vol. 26, no. 9, pp. 1628-1637, Dec. 2008. [11] M. C. Jeruchim, P. Balaban, and K. Sam Shanmugan, “Simulation of communication systems, 2nd ed,” Kluwer Academic Publishers, 2000. [12] S. Haykin, “Adaptive Filter Theory,” Third ed. Englewood Cliffs, NJ:Prentice-Hall, 1996. [13] O. Macchi, “Adaptive processing: The LMS Approach with applications in Transmission,” Wiley, New York, 1995. [14] E. Eweda, “Comparison of RLS, LMS, and sign algorithms for tracking randomly time-varying channels,” IEEE Trans. Signal Process., vol.42, pp. 2937–2944, Nov. 1994. [15] S. R. Ramp, J. F. Lynch, P. H. Dahl, C.-S. Chiu, and J. A. Simmen, “ASIAEX fosters advances in shallow-water acoustics,” EOS, Trans. AGU, vol. 84, no. 37, pp. 361–367, 2003. [16] Yung-Sheng Chiu, Yuan-Ying Chang, Li-Wen Hsieh, Mei-Chun Yuan, and Chi-Fang Chen, “Three-dimensional acoustics effects in the ASIAEX SCS experiment,” J. Comp. Acoust., Vol. 17, No. 1, pp.11-27, March 2009. [17] Chi-Fang Chen, Tswen-Yung Tang, Ruey-Chang Wei, Gee-Pinn Too, and Ying-Jang Yang, et al, “The Asian Seas International Acoustics Experiment (ASIAEX) Analysis Workshop,” Proceedings of the ASIAEX Analysis Workshop, UAL-NTU TR 0303, Taipei, Taiwan, 2003(UAL-NTU TR 0303). [18] Y.S. Linus Chiu, Chi-Fang Chen, “Time reversal processing effect on foci structure in a dynamic ocean waveguide,” Journal of Mechanics, Vol. 23, No. 3, pp.221-233, September 2007. [19] Yung-Sheng Chiu, Yuan-Ying Chang, Li-Wen Hsieh, Mei-Chun Yuan, and Chi-Fang Chen, “Three-dimensional acoustics effects in the ASIAEX SCS experiment,” J. Comp. Acoust., Vol. 17, No. 1, pp.11-27, March 2009. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42343 | - |
| dc.description.abstract | 我們想要在最佳情況下比較最小均方法(LMS)、遞迴最小平方法(RLS)和卡爾曼濾波(Kalman Filter)的追蹤效能。但是我們很難從真實的資料得到正確的通道脈衝響應特性和訊雜比(SNR)。因此，我們使用模擬的資料以確保我們可以在最佳情況下追蹤頻道。我們也希望模擬的資料可以符合真實的情況。首先，我們從真實的資料拿到模擬參數。然後我們使用這些參數和頻道模型方法模擬接收到的訊號。因此，在各種頻道脈衝響應變化起伏下，我們比較三種追蹤方法LMS、RLS和Kalman Filter的效能。結果顯示，在不同頻道脈衝響應變化起伏下，Kalman Filter的效能比LMS 和RLS 還要好。且在最佳情況，RLS效能又比LMS好。 | zh_TW |
| dc.description.abstract | We want to compare the performances of LMS, RLS and Kalman filter on the optimum condition. But we may not get the proper characteristics of channel impulse response (CIR) and the information of SNR from real data. Hence, we use simulation data to guarantee that we track channel on the optimum condition. We also expect that the simulation data is similar to the real condition. First, we get the simulator parameters from the real data. Then we use the parameters and channel model method to simulate the received signal. Therefore we can compare the performances of three tracking algorithms, LMS, RLS, Kalman filter on the condition of different fluctuations of CIR. It shows that the performance of Kalman filter is much better than LMS and RLS in sundry fluctuations of CIR. And the performance of RLS is better than LMS on the optimum condition. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T01:12:23Z (GMT). No. of bitstreams: 1 ntu-100-R97942129-1.pdf: 4964429 bytes, checksum: 11d727ee2cd3f2309db25c89c7ea9e93 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 口試委員會審定書...........................................i
誌謝......................................................ii 中文摘要.................................................iii 英文摘要..................................................iv Chapter 1 Introduction....................................01 1.1 Underwater Acoustic Communications....................01 1.2 The Ocean Acoustic Environment........................02 1.2.1 Propagation Losses..................................02 1.2.2 Multiple Paths......................................03 1.2.3 Noise...............................................03 1.2.4 Internal Waves......................................04 1.3 Simulation Methods....................................04 1.3.1 Characterization of the Underwater Communication Channel...................................................04 1.3.2 Methods for Simulation..............................05 1.4 Step-size and Forgetting Factor Estimation............07 Chapter 2 Channel Model and Parameter Estimation..........08 2.1 Channel Model.........................................08 2.2 Channel Impulse Response and Tap Correlation..........14 2.3 Scattering Function and Doppler Spread................18 2.4 Doppler Estimation....................................20 Chapter 3 Channel Tracking Algorithms.....................21 3.1 Least-Mean-Square(LMS) Adaptive Filter................21 3.2 Recursive Least-Square(RLS) Adaptive Filter...........26 3.3 Kalman Filter.........................................32 Chapter 4 Evaluating Performance of Channel Tracking by Simulation................................................41 4.1 Simulation Parameters.................................41 4.2 Channel Trackings With Simulation Data................44 4.2.1 Parameters of LMS...................................44 4.2.2 Parameters of RLS...................................46 4.2.3 Parameters of Kalman Filter.........................47 4.3 Result................................................48 4.3.1 The Asian Seas International Acoustics Experiment (ASIAEX)..................................................48 4.3.2 Simulation..........................................53 4.3.3 Performance.........................................57 Chapter 5 Conclusion......................................69 Reference.................................................70 Appendix..................................................73 | |
| dc.language.iso | en | |
| dc.title | 通道模擬及LMS、RLS和Kalman Filter追蹤效能比較 | zh_TW |
| dc.title | Channel Simulation and Tracking Performance Comparison of LMS, RLS and Kalman Filter | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳琪芳,邱永盛 | |
| dc.subject.keyword | 追蹤效能,遺忘因子,量化階大小,最小均方法,遞迴最小平方法,卡爾曼濾波,水聲通道, | zh_TW |
| dc.subject.keyword | Tracking Performance,Forgetting Factor,Step Size,Least Mean Square Algorithm,Recursive Least Square Algorithm,Kalman Filter,Underwater Acoustic Channel, | en |
| dc.relation.page | 75 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-16 | |
| 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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