本文選題：海雜波　切入點：海面目標檢測　出處：《西安電子科技大學》2014年碩士論文

【摘要】：海面目標檢測雷達在軍用和民用方面都有重要的應(yīng)用。常見的海面目標檢測雷達包括機載對海探測雷達、艦載雷達和岸基雷達，這些雷達在工作時不可避免地會受到海雜波的干擾。因此，海雜波特性和海雜波背景下的目標檢測研究受到了廣泛關(guān)注。相干雷達具有速度分辨能力，有利于從雜波背景中檢測運動目標，海雜波背景下的相干雷達目標檢測逐漸成為一個重要的研究方向。論文圍繞海雜波背景下的相干雷達目標檢測問題，對高斯和復(fù)合高斯模型的相干最優(yōu)檢測進行了類比研究。針對海面目標檢測經(jīng)常遇到的高虛警問題，研究了利用兩級自適應(yīng)檢測降低虛警率的算法。針對經(jīng)典的自適應(yīng)匹配濾波檢測器計算量大的問題，提出了一種利用快速傅里葉變換（FFT）的快速算法。最后研究了雷達對海面上空目標檢測的性能評估方法。論文工作具體包括如下三個方面： 1）海雜波基本模型驗證和海雜波背景下的基本檢測方法研究。首先用實測海雜波數(shù)據(jù)對常用的海雜波統(tǒng)計模型進行擬合驗證。然后基于海雜波的復(fù)合高斯模型，介紹了對應(yīng)的二元假設(shè)下的最優(yōu)似然比檢測方法。最后對高斯和復(fù)合高斯模型下的檢測進行了類比研究，給出了適用于最優(yōu)似然比檢測和廣義似然比檢測的統(tǒng)一檢測框架。 2）海雜波背景下的自適應(yīng)檢測方法研究。對經(jīng)典的廣義似然比檢測（GLRT）、自適應(yīng)匹配濾波（AMF）和自適應(yīng)歸一化匹配濾波（ANMF）三種自適應(yīng)檢測算法作了簡要分析，重點對這三種算法的檢測性能進行比較。針對自適應(yīng)檢測中雜波協(xié)方差矩陣估計技術(shù)，，介紹了三種雜波協(xié)方差矩陣估計的方法。為了降低AMF檢測算法的虛警概率，研究了利用兩級自適應(yīng)檢測降低虛警率的算法。為了減小AMF檢測算法的計算復(fù)雜度，提出了一種基于FFT的AMF快速算法，并用實測海雜波數(shù)據(jù)證明了這種快速算法在降低計算復(fù)雜度的同時，還能保持和AMF檢測算法相當?shù)臋z測性能。 3）海雜波背景下的雷達性能評估方法。雷達性能評估的精度關(guān)系到雷達系統(tǒng)設(shè)計的成敗。論文基于相干處理后的海雜波特性，獲得了速度距離二維檢測盲區(qū)圖的產(chǎn)生方法和基于盲區(qū)圖的雷達性能評估方法。利用該方法得到的評估結(jié)果可以實現(xiàn)雷達系統(tǒng)方案、系統(tǒng)參數(shù)和信號處理方法的優(yōu)選。
[Abstract]:The sea surface target detection radar has important applications in both military and civil fields. The common sea surface target detection radar includes airborne sea detection radar, shipborne radar and shore based radar. These radars will inevitably be disturbed by sea clutter in operation. Therefore, the characteristics of sea clutter and the research of target detection in sea clutter background have been paid more and more attention. Coherent radar has the ability of velocity resolution. In order to detect moving targets from clutter background, coherent radar target detection in sea clutter background is becoming an important research direction. In this paper, the coherent optimal detection of Gao Si and complex Gao Si model is studied by analogy. Aiming at the problem of high false alarm often encountered in sea surface target detection, This paper studies the algorithm of reducing false alarm rate by using two-stage adaptive detection, aiming at the problem of large computation of classical adaptive matched filter detector. A fast algorithm based on fast Fourier transform (FFT) is proposed. Finally, the performance evaluation method of radar for target detection over sea surface is studied. The work of this paper includes the following three aspects:. 1) the basic model verification of sea clutter and the basic detection method under sea clutter background. Firstly, the statistical model of sea clutter is fitted with measured sea clutter data. Then, based on the composite Gao Si model of sea clutter, The optimal likelihood ratio detection method based on binary hypothesis is introduced. Finally, an analogical study is made on the detection under Gao Si and the complex Gao Si model, and a unified detection framework suitable for optimal likelihood ratio detection and generalized likelihood ratio detection is presented. 2) the research of adaptive detection method in sea clutter background. Three kinds of adaptive detection algorithms, namely GLRTT, AMF and ANMF), are briefly analyzed, which are based on generalized likelihood ratio (GML) detection, adaptive matched filter (AMF) and adaptive normalized matched filter (ANMF). In order to reduce the false alarm probability of AMF detection algorithm, three methods of clutter covariance matrix estimation in adaptive detection are introduced in order to reduce the false alarm probability. In order to reduce the computational complexity of AMF detection algorithm, a fast AMF algorithm based on FFT is proposed. The measured sea clutter data show that this fast algorithm can reduce the computational complexity while maintaining the detection performance comparable to that of the AMF detection algorithm. 3) Radar performance evaluation method under sea clutter background. The accuracy of radar performance evaluation is related to the success or failure of radar system design. The generation method of velocity distance 2-D blind area map and the method of radar performance evaluation based on blind area map are obtained. The optimal selection of radar system scheme, system parameters and signal processing method can be realized by using the evaluation results obtained by this method.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.51

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相關(guān)期刊論文 前1條

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