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研究生: 李卓鑫
Li, Jow-Hsin
論文名稱: 適應性陣列天線於GPS干擾抑制之研究
Study of Adaptive Antenna Array for GPS Interference Mitigation
指導教授: 莊智清
Juang, Jyh-Ching
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 74
中文關鍵詞: 干擾抑制陣列天線全球定位系統(GPS)
外文關鍵詞: GPS, interference mitigation, antenna array
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  •   本論文針對適應性陣列天線的於GPS干擾抑制和訊號增強性能進行分析與探討。GPS為一發展成熟之系統,但是由於其微弱信號使得其定位效能容易受外界干擾信號所影響,而適應性陣列天線是抗干擾技術中之一,其理論上效能是最佳的。本文針對各種不同波束合成法則作探討並加以修改,進而利用MATLAB模擬和分析適應性陣列天線干擾抑制的效能在不同的波束合成法則及不同的干擾信號(持續性弦波、頻率調變和虛擬衛星)的差異。最後我們實現一由四個天線所組成的陣列天線模組並且實際接收訊號及干擾,並將波束合成法則驗證於實際接收訊號上,達到增強GPS訊號強度及干擾抑制的效果。

     The GNSS signal is a weak signal and easily influenced by interferences. An antenna array with beamforming algorithm can be used to improve GNSS signal acquisition and interference mitigation performance. This thesis addresses interference mitigation and signal enhancement performance analysis by an adaptive antenna array. The presence of an antenna array allows the receiver to operate in spatial domain in addition to temporal (code) domain. Several beamforming algorithms are analyzed and a revised power minimization method is emphasized. We analyse interference mitigation performance of these techniques in the presence of different broadband and narrowband interferences (continuous wave, FM, and Pseudolite) through simulations. Analytic, numerical, and simulation comparisons illustrate the relative merits of the investigated adaptive beamforming algorithms. Finally, an array of four antenna elements placed in rectangular shape is implemented and tested with real GPS and interference signals. This architecture is built in PC-based environment. Field tests of adaptive antenna array confirm the applicability of the proposed method in interference and signal enhancement.

    Contents 中文摘要 I Abstract II 誌謝 III Content IV List of Tables VII List of Figures IX Chapter 1 Introduction 1 1.1 Motivation and Background 1 1.2 Paper Review 2 1.3 Organization 3 Chapter 2 GPS Signal and Acquisition 4 2.1 Introduction of GPS 4 2.2 GPS Signal 5 2.2.1 GPS Signal Model 5 2.2.2 C/A Code 6 2.2.3 RF signal down converter and sample 8 2.3 GPS Signal Acquisition 10 Chapter 3 GPS Adaptive Beamforming Algorithms 16 3.1 GPS Antenna Array 16 3.2 Adaptive Beamforming Algorithms 18 3.2.1 Least-Mean square (LMS) Algorithm 20 3.2.2 Sample Matrix Inversion (SMI) Algorithm 21 3.2.3 Constant Modulus Algorithm (CMA) 23 3.2.4 Power Minimization Algorithm 24 3.2.5 Improved Power Minimization Algorithm 25 3.2.6 Other techniques 26 3.3 Matlab Simulation Results and Analysis 28 3.3.1 Interference Rejection Performance Analysis with the Number of Elements and Signals Direction 28 3.3.2 Comparison of the Interference Rejection Performance of Different Interference Types,Number,and Beamforming Algorithms 31 3.3.2.1 Continuous Wave Interference 31 3.3.2.2 FM Interference 32 3.3.2.3 Pseudolite Interference 33 3.3.2.4 Simulation Result 34 3.4 Summary 38 Chapter 4 Implementation and Test 39 4.1 Hardware Architecture 39 4.1.1 RF Front End 40 4.1.2 PCI-6534 Digital I/O Card 41 4.1.3 System Overview 42 4.2 GPS Signal Enhancement Experiment 42 4.2.1 GPS Signal Enhancement with Improved Power Minimization Beamforming 45 4.2.2 GPS Signal Enhancement with Power Minimization Beamforming 46 4.2.3 GPS Signal Enhancement with LMS Beamforming 47 4.3 Interference Mitigation Experiment 48 4.3.1 PL Interference 49 4.3.1.1 PL Interference Mitigation with Improved Power Minimization Beamforming 50 4.3.1.2 PL Interference Mitigation with Power Minimization Beamforming52 4.3.1.3 PL Interference Mitigation with SMI Beamforming 53 4.3.1.4 PL Interference Mitigation with CMA Beamforming 54 4.3.1.5 PL Interference Mitigation with LMS Beamforming 55 4.3.2 Continuous Wave (CW) Interference 56 4.3.2.1 CW Interference Mitigation with Improved Power Minimization Beamforming 57 4.3.2.2 CW Interference Mitigation with Power Minimization Beamforming58 4.3.2.3 CW Interference Mitigation with SMI Beamforming 59 4.3.2.4 CW Interference Mitigation with CMA Beamforming 60 4.3.2.5 CW Interference Mitigation with LMS Beamforming 61 4.3.3 FM Interference 62 4.3.3.1 FM Interference Mitigation with Improved Power Minimization Beamforming 64 4.3.3.2 FM Interference Mitigation with Power Minimization Beamforming65 4.3.3.3 FM Interference Mitigation with SMI Beamforming 66 4.3.3.4 FM Interference Mitigation with CMA Beamforming 67 4.3.3.5 FM Interference Mitigation with LMS Beamforming 68 4.4 Summary 69 Chapter 5 Conclusion 70 5.1 Conclusion 70 5.2 Future work 70 References 71

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