![]() |
|
以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數:18 、訪客IP:3.137.186.99
姓名 卓奕璿(Yi-Hsuan Cho) 查詢紙本館藏 畢業系所 通訊工程學系 論文名稱 模糊類神經網路應用於調適性多天線偵測器正交分頻多工系統
(Adaptive Multi-antenna Detections for an OFDM System Using Fuzzy Neural Networks)相關論文 檔案 [Endnote RIS 格式]
[Bibtex 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
至系統瀏覽論文 ( 永不開放)
摘要(中) 在傳統的正交分頻多工(OFDM)系統線性波束形成(beamforming)偵測中,遇到複雜通道或是不好的環境時,很容易達到其工作的極限。
為了提升偵測方式的效能,本篇論文提出的方法為,將模糊類神經網路(FNN)非線性偵測方式應用於OFDM系統調適性波束形成偵測器上。
而模擬結果顯示出,比起傳統的線性波束形成器偵測方式,模糊類神經網路能在位元錯誤率(BER)部分表現更為優異。
摘要(英) In conventional orthogonal frequency division multiplexing (OFDM) systems linear beamforming detection, the encounter complex or a bad channel environment, it is easy to reach the limits of their work.
In order to enhance the performance of detection methods, this paper proposed method, the fuzzy neural network (FNN) non-linear detection methods used in OFDM system, adaptive beamforming on the sensor.
The simulation results show, compared to conventional linear beamformer detection methods, fuzzy neural network in bit error rate (BER) part was even better.
關鍵字(中) ★ 波束成形器
★ 類神經網路關鍵字(英) ★ beamforming
★ fuzzy nerual network論文目次 目錄
摘 要 v
Abstract vi
誌 謝 vii
圖目錄 x
表目錄 xi
第一章 緒論(Introduction) 1
1-1 前言 1
1-2 模糊類神經網路 (Fuzzy Neural Network, FNN) 4
1-2-1 模糊系統 4
1-2-3 模糊類神經網路 6
1-3 放射狀基底函數網路(radial basis function network) 8
1-4 本篇論文組織 9
第二章 正交分頻多工調適性波束形成器 (OFDM adaptive beamformer) 10
2-1 正交分頻多工系統(OFDM system) 10
2-2 調適性陣列天線 (adaptive array antennas) 11
2-2-1等距線性陣列天線通道模型 (Uniform Linear Array Antenna, ULA) 13
2-3 OFDM系統下的波束成形演算法 15
2-3-1 MMSE (最小均方誤差) 17
2-3-2 LMS (最小均方) 18
2-3-3 MBER (最小位元錯誤率) 20
第三章 模糊類神經網路應用於OFDM系統調適性波束成形器 (OFDM Adaptive Beamformer Using FNN) 22
3-1 FNN傳輸系統架構圖 23
3-2 對稱式放射狀基底函數(symmetric radial basis function, SRBF) 24
3-2-1 k-means分群法(k-means clustering) 26
3-3 本章總結 27
第四章 模擬結果(simulation results) 28
4-1 系統模擬架構 28
4-2 收斂特性分析 30
4-3 BER分析 31
4-4 GBF分析 32
結論 34
參考文獻 (References) 35
參考文獻 [1] S. Siu, Chia-Lu Ho, and Chien-Min Lee, “TSK-based decision feedback equalizer using an evolutionary algorithm applied to QAM communication systems,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 52, 2005, pp. 596-600.
[2] 蘇木春, 張孝德, 機器學習:類神經網路、模糊系統以及基因演 算法則,全華圖書公司, 臺北市, 2006.
[3] H. Song, C. Wang, Y. He, S. Ma, and J. Zuo, “Decision feedback equalizer based on non-singleton fuzzy regular neural networks,” Journal of Systems Engineering and Electronics, vol. 17, 2006, pp. 896-900.
[4] L. Hanzo, M. M¨unster, B.J. Choi and T. Keller, OFDM and MC-CDMA for Broadband Multi-user Communications, WLANs and Broadcasting, U.K, 2000.
[5] S. Chen, N. Ahmad, and L. Hanzo, “Adaptive minimum bit-error rate beamforming,” IEEE Transactions on Wireless Communications, vol. 4, 2005, pp. 341-348.
[6] S. Chen, A.K. Samingan, B. Mulgrew, and L. Hanzo, “Adaptive Minimum-BER Linear Multiuser Detection for DS-CDMA Signals in Multipath Channels,“ IEEE Transactions on Signal Processing , vol. 49, NO. 6, June 2001,pp. 1240-1247.
[7] M.S. Bazaraa, H.D. Sherali, and C.M. Shetty, Nonlinear programming: theory and algorithms, John Wiley and Sons, 2006.
[8] C. K. Kim, K. Lee, and Y. S. Cho, “Adaptive beamforming algorithm for OFDM systems with antenna arrays,” IEEE Transactions on Consumer Electronics, vol. 46, 2000, pp. 1052-1058.
[9] X. Lian H. Nikookar, L. P. Lighthart and J. Zhou, “Adaptive OFDM Beamformer with Constarined Weights for Cognitive Radio,” Vehicular Technology Conference, 2009, VTC Spring 2009. IEEE 69th 26-29 April 2009,pp.1-5.
[10] M. S. Heakle, M. A. Mangoud and S. Elnoubi , “LMS Beamforming Using Pre and Post-FFT Processing for OFDM Communication Systems,” 24th National Radio Science Conference (NRSC 2007), pp. B2-1 – B2-6.
[11] Peter Joseph Bevelacqua, ANTENNA ARRAYS: PERFORMANCE LIMITS AND GEOMETRY OPTIMIZATION, ARIZONA STATE UNIVERSITY, May 2008.
[12] S. Chen, K. Labib, and L. Hanzo, “Clustering-Based Symmetric Radial Basis Function Beamforming,” IEEE Signal Processing Letters, vol. 14, 2007, pp. 589-592.
指導教授 賀嘉律(Chia-Lu Ho) 審核日期 2011-7-27 推文 plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
網路書籤 Google bookmarks
del.icio.us
hemidemi
myshare