| 研究生: |
張仲良 Chang, Chung-Liang |
|---|---|
| 論文名稱: |
GPS頻段內干擾抑制訊號處理研究 Study of In-Band Interference Suppression Signal Processing for GPS |
| 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: | 2004 |
| 畢業學年度: | 92 |
| 語文別: | 中文 |
| 論文頁數: | 100 |
| 中文關鍵詞: | 全球衛星導航 、快速傅立葉轉換 、遞迴式最小平方法 、虛擬衛星 |
| 外文關鍵詞: | GPS, FFT, NATF, RLS, FBNN, ERNN, pseudolite |
| 相關次數: | 點閱:111 下載:5 |
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本論文之目的為研究一具頻段內干擾抑制能力之GPS訊號處理方法以增進GPS接收器偵測與抑制干擾之能力。隨著GPS應用之普及,GPS之干擾抑制成為一不可忽略的話題。雖然在GPS的設計上採用了分碼多工的技術以取得相當程度之干擾抑制能力,但對高精度定位要求之載具工作在充斥無線電波之環境中,有必要研製干擾抑制機制以取得較可靠且精確之定位。在諸多影響定位之干擾源中,頻段內之干擾的危害是較嚴重的。故本文針對此一頻段內之干擾進行分析並研擬因應之方案。研究藉由訊號處理以建立具體之GPS抗干擾技術,進而改善GPS系統在干擾環境下之定位品質。其中窄頻干擾會降低接收器中C/No值並導致定位誤差漸增,虛擬衛星干擾則對於接收衛星本身訊號結構進行破壞,在衛星數少於四顆時則無法進行定位。其干擾抑制結果顯示以頻域處理的方式及時域處理中遞迴式類神經網路為架構的適應性估測器針對自我迴歸式及持續性弦波干擾有著較佳的訊號雜訊比改善,在硬體實現成本考量上,採取較為低階的時域濾波器可節省運算時間。另在虛擬衛星干擾部分,我們採取干擾訊號重建的方式將虛擬衛星摒除,其結果顯示可增加其他衛星的訊號雜訊比並擷取之。最後採取塊狀訊號擷取方式來產生較佳的擷取結果。
The Global Positioning System (GPS) for navigation is designed to serve both military and civilian applications. However, Pseudolite jamming and narrowband interference can seriously degrade performance of GPS system appreciably. Thus, the most important use of GPS system is that of interference suppression techniques. This paper gives an overview of the techniques of interference suppression to GPS such as Fast Fourier Transform (FFT) technique, Nonlinear Adaptive Transversal Filter (NATF), Recursive Least Square (RLS) adaptive filtering, Feedforward Back-propagation Neural Network (FBNN) and Elman Recurrent Neural Network (ERNN)., etc. The key issue in the frequency domain and time domain approach is to find an appropriate architecture that can suppress the narrowband interference and give the best results. We develop a software algorithm that removes the pseudolite interference and successfully acquisition of the weak GPS signals. Finally, analytical and hardware simulation results obtained in the presence of single-tone and pseudolite interference sources are presented.
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