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  本文關鍵詞：改進的MUSIC算法在信號DOA估計中的研究　出處：《長安大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 波達方向估計 MUSIC算法 相干信號 高斯噪聲

【摘要】：陣列信號處理技術成為信號處理領域的一個重要的學科，它在通信、雷達、聲納、電子對抗等對多領域有著極為廣闊的應用前景�；陉嚵行盘柼幚淼牟ㄟ_方向（DOA）估計方法，可以同時對空間不同方向上的多個信號源實現高分辨率的方向估計。經過40過年的研究，，各國學者分析了各種類型的算法，信號波達方向的研究已經越來越完善。本文采用了理論和計算仿真實驗相結合的的方法對算法和陣列結構的有關問題進行了研究。主要工作內容如下： 本文從經典的MUSIC算法入手，在理想高斯白噪聲條件下，分析了影響MUSIC算法性能的客觀因素并用MATLAB進行仿真。由于MUSIC算法在相干信源進行估計時性能嚴重下降甚至是失效，因此，本文基于對MUSIC算法原理的改進，詳細地介紹了空間平滑法、修正MUSIC算法和基于Toeplitz矩陣重構的去相干算法�？臻g平滑法，雖然解決了相干信號源的問題，但是對陣列孔徑有一定的損失。修正的MUSIC算法，計算量小而且對陣列孔徑沒有損失，而基于Toeplitz矩陣重構的去相干算法，不僅有修正MUSIC算法的優(yōu)點，還實現了少陣元多信源的DOA估計，并且在低信噪比時性能表現較好。 在傳統(tǒng)DOA估計算法的基礎上，對近幾年DOA估計中出現的高階累積量信號分析與處理技術進行了研究�；诟咚股肼晽l件下的DOA估計做了詳細的介紹，本文應用了基于四階累積量的MUSIC算法，為了去除算法中的大量數據冗余，提出了改進的四階MUSIC算法。仿真結果表明，該在未知高斯噪聲下，可以準確的估計出信號的入射角度，且階數越高，估計性能越好。
[Abstract]:Array signal processing technology has become an important subject in the field of signal processing, it is in communication, radar, sonar. Electronic countermeasures have a wide application prospect in many fields. The DOA estimation method based on array signal processing is presented. High resolution direction estimation can be achieved for multiple signal sources in different directions at the same time. After 40 years of research, scholars from all over the world have analyzed various kinds of algorithms. The research on the DOA of the signal has become more and more perfect. In this paper, the algorithm and the array structure are studied by combining the theory with the simulation experiment. The main work is as follows: This paper starts with the classical MUSIC algorithm, under the condition of ideal Gao Si white noise. The objective factors that affect the performance of MUSIC algorithm are analyzed and simulated with MATLAB. Because the performance of MUSIC algorithm in the estimation of coherent sources is seriously degraded or even failed. Based on the improvement of MUSIC algorithm, spatial smoothing, modified MUSIC and Toeplitz matrix reconstruction are introduced in detail in this paper. Although the problem of coherent signal source is solved, there is a certain loss to array aperture. The modified MUSIC algorithm has less computation and no loss to array aperture. The decoherence algorithm based on Toeplitz matrix reconstruction not only has the advantage of modified MUSIC algorithm, but also realizes the DOA estimation of fewer array elements and more sources. And the performance is better when the signal-to-noise ratio is low. Based on the traditional DOA estimation algorithm. The signal analysis and processing technology of high-order cumulant in DOA estimation in recent years is studied. The DOA estimation based on Gao Si color noise condition is introduced in detail. In this paper, MUSIC algorithm based on fourth-order cumulant is applied. In order to remove a lot of data redundancy in the algorithm, an improved fourth-order MUSIC algorithm is proposed. The simulation results show that the algorithm is under unknown Gao Si noise. The incident angle of the signal can be estimated accurately, and the higher the order, the better the estimation performance.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN911.23

【參考文獻】

相關期刊論文 前4條

1 何子述,黃振興,向敬成;修正MUSIC算法對相關信號源的DOA估計性能[J];通信學報;2000年10期

2 袁修孝;傅建紅;左正立;孫紅星;;機載POS系統(tǒng)用于航空遙感直接對地目標定位的精度分析[J];武漢大學學報(信息科學版);2006年10期

3 張安清,章新華;四階累積量的遞推估計及其應用[J];信號處理;2002年01期

4 吳海菁,張莉,吳瑛;相干信號源的空間平滑算法及其改進[J];信息工程大學學報;2001年04期

本文編號：1422334