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研究生: 林鴻志
Hong-Zhi Lin
論文名稱: 雷達訊號之時頻分析
Time-Frequency analysis of radar signal
指導教授: 劉兆漢
Chao-Han Liu
口試委員:
學位類別: 碩士
Master
系所名稱: 資訊電機學院 - 電機工程學系
Department of Electrical Engineering
畢業學年度: 94
語文別: 中文
論文頁數: 92
中文關鍵詞: 基波轉換希爾伯-黃轉換自動化濾波都卜勒速度
外文關鍵詞: Hilbert-Huang Transform, Wavelet Transform, Doppler frequency shift, Auto-filtering process
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  • 本文利用中壢特高頻雷達在觀測大氣訊號時,常有雜訊污染訊號,使訊號無法有效利用。在本研究中,主要針對飛機及降雨對雷達訊號的干擾來進行濾波,而使用的方法為新技術希爾伯-黃轉換(Hilbert-Huang Transform,HHT),在濾除飛機訊號時,也藉助基波轉換(Wavelet Transform,WT)在數學上的貢獻,與HHT相輔相成,有效率的進行濾波,最後而發展了一套「自動化濾波」。而濾波結果彼此比較都卜勒速度、頻寬、頻譜等,判斷是否正確,最後再看看其結果是否在雷達訊號裡接近大氣的波動,使其有效再利用與分析。


    When we use Chung Li VHF radar to observe atmospheric signal, there are some noise make the signal feckless. In this study, we use wavelet transform and a new method called Hilbert-Huang Transform to filter the plane and precipitation signal, that is, the noise. By this way, we create a process called "auto-filtering process" to filter the noise from normal atmospheric signal. We used the observed data to calculate the echo power, the Doppler frequency shift, spectral width and signal-to-noise ratio by the moment method. After comparing these outcomes with normal atmospheric signal, we can determine if the method is useable.

    目錄 第一章 緒論 1 1-1 雷達背景 1 1-2 研究動機 2 1-3 內容簡介 3 第二章 研究方法介紹及實例分析 4 2-1 Wavelet簡介 4 2-1.1 連續基波轉換 5 2-1.2 離散基波轉換 8 2-1.3 時頻圖 8 2-2 Wavelet模擬分析及程式檢測 9 2-3 HHT簡介 11 2-3.1 經驗模態分解 11 2-3.2 希爾伯頻譜 12 2-4 HHT模擬分析及程式檢測 13 第三章 雷達訊號之時頻分析 17 3-1 中壢特高頻雷達簡介 17 3-2 飛機訊號時頻分析 19 3-2.1 雷達參數 19 3-2.2 觀測結果 20 3-2.3 模擬飛機訊號 40 3-3 降水訊號時頻分析 51 3-3.1 雷達參數 54 3-3.2 觀測結果 55 第四章 自動化濾波 81 4-1 自動化濾波流程 81 4-2 自動化濾波 84 4-2.1 飛機訊號之自動化濾波 84 4-2.2 降水訊號之自動化濾波 88 第五章 結論 90 參考文獻 91

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