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研究生:黃三垣
研究生(外文):San-Yuan Huang
論文名稱:電力線通訊網路中非同步脈衝雜訊之馬可夫模型參數最佳化與雜訊產生器實作
論文名稱(外文):Markov Model Parameters Optimization for Asynchronous Impulsive Noise over Power Line Communication Network and Implementation of Noise Generator
指導教授:譚旦旭譚旦旭引用關係
口試委員:簡福榮、黃永發、黃正光
口試日期:2006-07-27
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:電機工程系所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:英文
論文頁數:45
中文關鍵詞:電力、線通訊、脈衝雜訊、馬可夫模型、單體法、基因演算法
外文關鍵詞:Power Line Communication、Asynchronous Impulsive Noise、Partitioned Markov-chains Model、Simplex Method、Genetic Algorithm
相關次數:
  • 被引用被引用:0
  • 點閱點閱:308
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
非同步脈衝雜訊(asynchronous impulsive noise)是降低電力線通訊(power line communication)網路效能的重要因素之一,因此已有多篇論文探討此一雜訊的時域特性,其中馬可夫模型經由實際量測驗證其為一種有效的時域統計模型。單體法(Simplex method)曾被用來估計馬可夫模型參數,但其最大缺點為容易陷入區域最佳解。為了克服這個困難,本論文應用基因演算法(genetic algorithm)來尋求全域最佳解(global optimum)。實驗結果顯示我們提出的方法的確可以提昇參數精確度。最後,我們實作一套雜訊產生器,以供相關模擬之用。
Chapter 1 Introduction:P1
Chapter 2 Noises in Power Line Communication Network:P3
2.1 Classification of the Noise:P3
2.2 Characteristic Parameters of Impulses:P4
Chapter 3 Markov-Chains Model:P6
3.1 Gilbert''s and Fritchman’s Model:P6
3.2 Markov-Chains Model for Asynchronous Impulsive Noise:P10
Chapter 4 Markov Model Parameters Optimization Using a Genetic Algorithm:P15
4.1 Parameter Optimization Using Genetic Algorithm:P15
4.2 Experimental Results:P18
Chapter 5 Implementation of Impulsive Noise Simulator for Power Line Communication Network:P24
Chapter 6 Conclusions:P33
References:P34
Appendix A Simplex Method:P36
A.1 Simplex Algorithm:P36
A.2 The Revised Simplex Method:P38
A.3 Nelder-Mead Simplex Algorithm:P41
A.4 Nelder-Mead Simplex Algorithm with a Modification of Powell''s COBYLA Implementation:P45
[1] E. Liu, Y. Gao, G. Samdani, O. Mukhtar, and T. Korhonen, “Broadband Characterization of Indoor Power line Channel and Its Capacity Consideration,” in Proc. of IEEE International Conference on Communications, pp. 901-905, 2005.
[2] H. Hrasnica, A. Haidine, and R. Lehnert, Broadband Powerline Communications: Network Design, New York: John Wiley & Sons, 2004.
[3] M. Goetz, M. Rapp, and K. Dostert, “Power Line Channel Characteristics and Their Effect on Communication System Design,” IEEE Communications Magazine, pp. 78-86, 2004.
[4] M. Zimmermann and K. Dostert, “Analysis and Modeling of Impulsive Noise in Broad-Band Power Line Communications,” IEEE Trans. Electromagnetic Compatibility, pp. 249–58, 2002.
[5] J. A. Nelder, and R. A. Mead, “A Simplex Method for Function Minimization,” Computer Journal, pp. 308-313, 1965.
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[8] K. Yen and L. Hanzo, “Hybrid Genetic Algorithm Based Detection Schemes for Synchronous CDMA Systems,” in Proc. of IEEE International Conference on Vehicular Technology, pp. 1400-1404, 2000.
[9] M. G. Shayesteh, M. Menhaj, and B. G. Nobary, “A New Modified Genetic Algorithm for Multiuser Detection in DS/CDMA Systems,” in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 11-14, 2001.
[10] D. E. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.
[11] F. T. Liu, T. H. Tan, and Y. F. Huang, “A Redundancy-Saving Genetic Algorithm for 34
Multi-User Detection in DS-CDMA Systems,” in Proc. of IEEE International Conference on Systems, Man, and Cybernetics, pp. 3588-3593, 2004.
[12] B. D. Fritchman, “A Binary Channel Characterization Using Partitioned Markov Chains,” IEEE Trans. Information Theory, pp. 221-227, 1967.
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[14] W. Zhao, R. Wu, X. M Chang, and G. Casella, “A Fast Algorithm for Functional Mapping of Complex Traits,” Genetics Society of America, pp. 2133-2137, 2004.
[15] J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright, “Convergence Properties of The Nelder-Mead Simplex Method in Low Dimensions, ” Society for Industrial and Applied Mathematics, pp. 112-147, 1998.
[16] J. Y. Chouinard, M. Lecours, and G. Y. Delisle, “Estimation of Gilbert''s and Fritchman''s Models Parameters Using the Gradient Method for Digital Mobile Radio Channels, ” IEEE Trans. on Vehicular Technology, pp.158-166, 1988.
[17] http://www.cs.nyu.edu/cs/faculty/overton/g22_lp/encyc/article_web.html
[18] http://www.cise.ufl.edu/~davis/Morgan/chapter2.htm
[19] http://math.fullerton.edu/mathews/n2003/NelderMeadMod.html
[20] http://www.csc.fi/cschelp/sovellukset/stat/sas/sasdoc/sashtml/ormp/chap5/sect27.htm
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