本文關鍵詞： 電子偵察 TOA估計 相關算法 倒序累加 小波變換　出處：《哈爾濱工業(yè)大學》2017年碩士論文　論文類型：學位論文

【摘要】：隨著雷達技術的發(fā)展,線性調頻信號、非線性調頻信號、相位編碼信號以及頻率編碼信號等越來越多的出現(xiàn)在電子偵察領域。因此,如何在電子偵察領域估計多種形式的脈沖信號的到達時間(TOA)已成為一個研究重點。本課題主要對多種形式信號的TOA估計方法進行了研究。研究內容概括如下:首先,研究了信號TOA估計的基本概念,依據(jù)信號可用信息的數(shù)量對信號TOA估計做出了分類,并提出了幾種適用于不同條件下的信號TOA估計方法,最后從算法性能和適用范圍上對這幾種算法做了比較全面的總結,為后文的研究奠定了理論基礎。然后,研究了自相關檢測法,通過此方法估計信號的起、止時間,在此方法基礎上研究了不同形式信號的參數(shù)估計問題,通過獲得的信號參數(shù)得到基帶信號,為后續(xù)算法提供了研究基礎。進而,本文在第三章的基礎上進一步研究,提出了一種適合多種信號形式的信號TOA估計算法--倒數(shù)相關累加算法。本算法的基本思路是:首先將之前研究得到的基帶信號倒序累加取模,然后對上述結果進行線性回歸估計形成峰值點,根據(jù)檢測的峰值點求出信號TOA的精估計。本文利用該算法分別對不同形式的信號進行了理論研究和仿真分析,得出了信號的估計精度,實驗結果證明倒序相關累加算法的估計精度有一定的提高。最后,本文進一步研究了一種性能更好的Haar小波變換算法。本算法在之前研究的基礎上對基帶信號進行小波變換并取模,根據(jù)檢測出的極值點獲得信號TOA的精估計。通過仿真驗證分析算法性能,本算法的估計精度和運算速度都優(yōu)于倒序相關累加法,具有較好的檢測性能。
[Abstract]:With the development of radar technology, more and more linear frequency modulated signals, nonlinear frequency modulated signals, phase coded signals and frequency coded signals appear in the field of electronic reconnaissance. How to estimate the time of arrival (DOA) of various forms of pulse signals in the field of electronic reconnaissance has become a research focus. In this paper, the methods of TOA estimation for various forms of signals are studied. The research contents are summarized as follows: first of all, This paper studies the basic concept of signal TOA estimation, classifies signal TOA estimation according to the number of signal available information, and puts forward several signal TOA estimation methods suitable for different conditions. Finally, the performance and application range of these algorithms are summarized comprehensively, which lays a theoretical foundation for the later research. Then, the autocorrelation detection method is studied to estimate the start and stop time of the signal. On the basis of this method, the parameter estimation problem of different signal forms is studied. The baseband signal is obtained by the obtained signal parameters, which provides the basis for further research. In this paper, a signal TOA estimation algorithm named reciprocal correlation accumulation algorithm is proposed, which is suitable for various signal forms. The basic idea of this algorithm is: firstly, the former baseband signal is accumulated in reverse order, Then the peak point is obtained by linear regression estimation of the above results, and the precise estimation of the signal TOA is obtained according to the detected peak point. In this paper, the theoretical research and simulation analysis of different forms of signals are carried out by using the algorithm. The estimation accuracy of the signal is obtained, and the experimental results show that the estimation accuracy of the inverted order correlation accumulation algorithm is improved to a certain extent. Finally, In this paper, a better Haar wavelet transform algorithm is further studied. According to the detected extremum, the accurate estimation of the signal TOA is obtained, and the performance of the algorithm is verified by simulation. The estimation accuracy and the operation speed of the algorithm are better than that of the inverted correlation accumulation method, and the algorithm has better detection performance.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN971

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