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研究生: 林聖淵
Sheng-Yuan Lin
論文名稱: 混合虛擬都卜勒定向及最大概似性估測之跳頻訊號源定向研究
A Hybrid DOA Estimation of Frequency Hopping Signal Source Using Pseudo Doppler Direction Finder and Maximum Likelihood Estimator
指導教授: 劉馨勤
Hsin-Chin Liu
口試委員: 廖文照
Wen-Jiao Liao
謝清淞
none
焦興也
none
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 68
中文關鍵詞: 來向角估測跳頻訊源最大概似性估測虛擬都卜勒
外文關鍵詞: DOA estimation, frequency hopping signal, maximum likelihood estimation, pseudo Doppler
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本論文提出對未知跳頻參數(跳頻頻率、時間等)之跳頻訊源來向角估測方法。
本論文之來向角估測方法大致可分為三個階段,分別為跳頻訊號偵測、訊號來向角初步估測、及精準訊號來向角估測。首先以低複雜度之短時距傅立葉轉換方法進行時頻分析來偵測跳頻訊號,再利用得到的跳頻參數以虛擬都卜勒 快速定向方法進行訊號來向角之初步估測;最後將初估角度代入最大概似性方法進行來向角之精準估測。
本論文以Simulink軟體產生藍芽訊號作為訊號源進行模擬,以驗證此來向角估測混合方法之效能;並比較有無虛擬都卜勒初步估測,對最大概似性估測方法產生的影響。模擬結果證明加入虛擬都卜勒初步估測,不僅能有效加快最大概似性估測方法之收斂速度,且可以避免最大概似性之估測結果收斂至局部最小值的問題,故此混合定向方法可有效提升跳頻訊源來向角估測之精準度。


In this thesis, we propose a blind direction of arrival (DOA) estimation of a frequency hopping signal source without a priori information of its hopping pattern.
The DOA estimation can be divided into 3 stages, including frequency hopping signal detection, preliminary DOA estimation, and accurate DOA estimation. First, we use low complexity short-time Fourier transform (STFT) time-frequency analysis to detect the hopping pattern of a frequency hopping signal, and then applying the estimated hopping pattern to a quick pseudo Doppler direction finder to perform the preliminary DOA estimation. Finally, we substitute the preliminary estimation result into a maximum likelihood (ML) scheme as the initial value and obtain the accurate estimation result.
Computer simulations are used to verify the performance of the hybrid DOA estimation, where Bluetooth signals generated by Simulink software are used as sources. After comparing the maximum likelihood estimation with or without pseudo Doppler scheme, the results show that hybrid DOA estimation not only can accelerate the convergence speed of maximum likelihood estimation, but also prevent the maximum likelihood estimation from converging to a local minimum problem. Consequently, the hybrid DOA estimation can effectively improve the accuracy of DOA estimation of a frequency hopping signal.

第一章緒論 1.1研究動機與目的 1.2章節概要 第二章文獻探討 2.1跳頻訊號參數偵測 2.2來向角估測方法6 2.3跳頻訊號來向角估測 2.4數值收斂方法 第三章跳頻訊源來向角估測系統 3.1跳頻訊號源模型 3.2估測方法架構 第四章模擬與分析結果 4.1時頻分析方法 4.2虛擬都卜勒估測方法 4.3最大概似性估測方法 4.4都卜勒初步估測之最大概似性估測效能分析 4.5藍芽訊源估測分析 第五章結論與未來研究方向 參考文獻

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