適用於CDMA系統的一種基於廣義旁瓣抵消器設計抗隨機指向向量誤差的強健式束波形成器

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：27

、訪客IP：3.135.200.211

姓名

陳勇維(Yong-Wei Chen) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

適用於CDMA系統的一種基於廣義旁瓣抵消器設計抗隨機指向向量誤差的強健式束波形成器
(A Method of GSC Based Robust Beamforming Design Against Random Steering Vector Error for CDMA systems)

相關論文

★ 手機用之平面倒F天線設計	★ 跳頻通訊干擾系統之干擾效能模擬與研析
★ 無線電交叉定位法運用於多目標之研究	★ WCDMA及DVB-T之整合天線設計
★ WCDMA射頻前端設計	★ 寬頻衛星通訊系統在展頻技術運用之鏈路分析研究
★ 運用SIFT特徵進行光學影像目標識別	★ 多來源遙測影像融合與色差校正之研究
★ 語音關鍵詞辨識擷取系統	★ 適用於筆記型電腦之WiMAX天線研究
★ 應用於凱氏天線X頻段之低雜訊放大器設計	★ 適用於802.11a/b/g WLAN USB dongle曲折型單極天線設計改良
★ 應用於行動裝置上的雙頻(GPS/BT)天線	★ SDH設備單體潛伏性障礙效能分析與維運技術
★ 無風扇嵌入式觸控液晶平板系統小型化之設計	★ 自動化RFID海關通關系統設計

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]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

在無線通訊系統快速的發展下，頻寬效益和通訊品質成為了熱門討論的議題。無線通訊有許多的難題，如多重路徑失真、多重路徑干擾。智慧型天線是一種使用多根天線組成的天線陣列。智慧型天線會針對接收訊號的角度成可調適性的波束，在想要訊號經過後會維持一定的增益，也會抑制干擾訊號，束波形成器即是建立在智慧型天線技術的基礎上。
　　分碼多重存取在第二代與第三代無線通訊系統被認為是引人注目的多重存取結構。在分碼多重存取通訊系統裡，不同的干擾消除技術被提出，如最小變異無失真響應形成器、最小變異數形成器和廣義旁波帶消除器。束波形成器的技術允許天線陣列在空間域下形成特殊的形狀而且是可調勢性的，這種特性使得訊號接收端可以考慮到傳輸環境的變動做調整。
　　在這篇論文裡，我們主要研究關於強健式波束形成器的效能，針對強健式波束形成器在不同環境下接收訊號，分析輸出訊號干擾雜訊比，更進一步，波束形成器將被引進分碼多重存取通訊系統做效能的分析。

摘要(英)

In the rapid development of wireless communication system, the bandwidth efficiency and communication quality have become an interesting issue for researchers. There are a lot of difficulties such as multipath fading and multiple-access interference (MAI) and etc. Smart Antennas is the technology that use a fix set of antennal elements in an array. The signals from these antennal elements are combined to form an adaptive beam pattern that can keep the desired signal and suppress the interference. Beamforming is based on the Smart Antennas technique.
　　The schemes about Code-Division Multiple Access (CDMA) have been considered as attractive multiple access schemes in both second-generation (2G) and third-generation (3G) wireless systems. There are various interference-cancellation techniques have been used in CDMA communication systems such as Minimum Variance Distortionless Response Beamforming (MVDR), Linearly Constrained Minimum Variance Beamforming (LCMV) and Generalized Sidelobe Canceller (GSC) structure. Beamforming technique allows antennal arrays to form the particular shape in spatial domain and to adaptive filtering allows a receiver to accommodate changes of the propagation environment. In this paper, the GSC based robust beamforming is proposed.
　　In this paper, we investigated the effect of correlation on the performance of the robust beamforming. The analysis yielded an explicit expression for the Signal to Interference plus Noise Ratio (SINR) at the output of robust beamforming in terms of the different situations. Further, the robust beamforming would apply to CDMA communication system to evaluate the system performance.

關鍵字(中)

★ 波束形成器

關鍵字(英)

★ Beamforming
★ CDMA
★ Robust
★ GSC

論文目次

Abstract ................................................................ i
摘要........ ii
誌謝........ iii
Contents........ iv
List of Figures........ vi
List of Tables........ viii
Chapter 1 Introduction 1
1.1 Motivation and Contribution .................................................................. 1
1.2 Thesis Architecture ................................................................ 2
Chapter 2 DS-CDMA Communication Systems ….............. 3
2.1 Background .................................. 3
2.2 Spread-Spectrum Principles ............ .............................................................. 3
2.3 Pseudo-Noise Code Sequence 6
2.3.1 Linear Shift Register Sequence ............................................. ........ 6
2.3.2 Gold Code .............................................. 7
2.3.2 Hadamard-Walsh Code ............................. 8
2.4 Smart Antenna for CDMA Wireless Systems ..................................... 9
Chapter 3 The Basics of Antennal Arrays 10
3.1 Signal Model ............................................................................ 10
3.2 Adaptive Array Beamforming ................................................... .12
3.2.1 Minimum Variance Distornless Response Beamforming 12
3.2.2 Linearly Constrained Minimum Variance Beamforming ................ 14
3.3 Desired Signal Cancellation ............................................................................... 16
3.4 Effect of Pointing Error ..................................................................................... 17
Chapter 4 Generalized Sidelobe Canceller Beamforming 20
4.1 Background 20
4.2 Mathematical Model .......................................................................... 21
Chapter 5 Robust Generalized Sidelobe Canceller Beamforming Design 26
5.1 Initialization.......................................................................... 26
5.2 Robust GSC Beamforming 27
5.2.1 Perturbation Steering Vector 27
5.2.2 Robust GSC Beamforming Model 27
5.2.3 Discussion and Analysis 32
Chapter 6 Simulation Analysis 33
6.1 Random Phase Error is White Noise .............................................. 33
6.1.1 Beampattern Simulation Result ........................... 33
6.1.2 Output SINR Simulation Result ................................. 42
6.1.3 CDMA Communication System Simulation Result.............. 45
6.2 Random Phase Error is Color Noise 47
6.2.1 Beampattern Simulation Result 47
6.2.2 Output SINR Simulation Result 56
6.2.3 CDMA Communication System Simulation Result 58
Chapter 7 Conclusion 61
Reference 62
Appendix A 64
Appendix B 65

參考文獻

[1] S. Haykin, Adaptive Filter Theory, 4th ed., Prentice Hall, Inc., 2002.txt
[2] B. D. Van and K. M. Buckley, “Beamforming: A versatile approach to spatial
filtering,”IEEE ASSP Magazine, vol. 5, issue 2, pp. 4-24, 1988.
[3] N. K. Jablon, “Adaptive beamforming with the generalized sidelobe canceller in the presence of array imperfections,”IEEE Trans. Antennas and Propagation, vol. P-35, no.8, pp. 996-1012, Aug. 1986.
[4] R. A. Horn and C. R. Johnson, Matrix Analysis, Cambridge, U.K.: Cambridge Univ. Press, 1985.
[5] J. Li, P. Stoica, and Z. Wang, “On robust Capon beamforming and diagonal loading,”IEEE Trans. Signal Processing, vol. 51, no. 7, pp. 1702-1715, July 2003.
[6] C. C. Lee and J. H. Lee, “Robust adaptive array beamforming under steering vector
errors,”IEEE Trans. Antennas and Propagation, vol. 45, no. 1, pp. 168-175, Jan.
1997.
[7] J. H. Lee and K. P. Cheng, “Adaptive array beamforming with robust capabilities under random phase perturbation,”IEEE Trans. Signal Processing, vol. 53, no. 1, pp. 365-371, Jan. 2005.
[8] Z. Tian, K. L. Bell, and H. L. Van Trees, “Robust constrained linear receivers for CDMA wireless systems,”IEEE Trans. Signal Processing, vol. 49, no. 7, pp. 1510-1522, July 2001.
[9] F. and R. J. Vaccaro, “Performance analysis for DOA estimation algorithms: Unification, simplification, and observations,”IEEE Trans. Aerospace and Electronic Systems, vol. 29, no. 4, pp. 1170-1184, Oct. 1993.
[10] C. Y. Lin, J. Y. Wu, and T. S. Lee, “Robust constrained-optimization based linear
receiver for high-rate MIMO-OFDM against channel estimation errors,”IEEE Trans. Signal Processing, vol. 55, no. 6, pp. 2628-2645, June 2007.
[11] A. Elnashar, S. M. Elnoubi, and H. A. El-Mikati, “Further study on robust adaptive beamforming with optimum diagonal loading,”IEEE Trans. Antenna and Propagation, vol. 54, no. 12, Dec 2006.
[12] Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic, Stephen P. Boyd and Zhi-Quan Luo “Robust Beamforming via Worst-Case SINR Maximization” IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 56, NO. 4, APRIL 2008
[13] Zhi-Quan Luo and Wei Yu “An Introduction to Convex Optimization for
Communications and Signal Processing”IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 24, NO. 8, AUGUST 2006

指導教授

林嘉慶、蔡木金

審核日期

2009-6-26

推文