本文選題：海雜波　切入點(diǎn)：海面目標(biāo)檢測(cè)　出處：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：海面目標(biāo)檢測(cè)雷達(dá)在軍用和民用方面都有重要的應(yīng)用。常見(jiàn)的海面目標(biāo)檢測(cè)雷達(dá)包括機(jī)載對(duì)海探測(cè)雷達(dá)、艦載雷達(dá)和岸基雷達(dá)，這些雷達(dá)在工作時(shí)不可避免地會(huì)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(biāo)檢測(cè)研究受到了廣泛關(guān)注。相干雷達(dá)具有速度分辨能力，有利于從雜波背景中檢測(cè)運(yùn)動(dòng)目標(biāo)，海雜波背景下的相干雷達(dá)目標(biāo)檢測(cè)逐漸成為一個(gè)重要的研究方向。論文圍繞海雜波背景下的相干雷達(dá)目標(biāo)檢測(cè)問(wèn)題，對(duì)高斯和復(fù)合高斯模型的相干最優(yōu)檢測(cè)進(jìn)行了類(lèi)比研究。針對(duì)海面目標(biāo)檢測(cè)經(jīng)常遇到的高虛警問(wèn)題，研究了利用兩級(jí)自適應(yīng)檢測(cè)降低虛警率的算法。針對(duì)經(jīng)典的自適應(yīng)匹配濾波檢測(cè)器計(jì)算量大的問(wèn)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(dá)對(duì)海面上空目標(biāo)檢測(cè)的性能評(píng)估方法。論文工作具體包括如下三個(gè)方面： 1）海雜波基本模型驗(yàn)證和海雜波背景下的基本檢測(cè)方法研究。首先用實(shí)測(cè)海雜波數(shù)據(jù)對(duì)常用的海雜波統(tǒng)計(jì)模型進(jìn)行擬合驗(yàn)證。然后基于海雜波的復(fù)合高斯模型，介紹了對(duì)應(yīng)的二元假設(shè)下的最優(yōu)似然比檢測(cè)方法。最后對(duì)高斯和復(fù)合高斯模型下的檢測(cè)進(jìn)行了類(lèi)比研究，給出了適用于最優(yōu)似然比檢測(cè)和廣義似然比檢測(cè)的統(tǒng)一檢測(cè)框架。 2）海雜波背景下的自適應(yīng)檢測(cè)方法研究。對(duì)經(jīng)典的廣義似然比檢測(cè)（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(cè)算法作了簡(jiǎn)要分析，重點(diǎn)對(duì)這三種算法的檢測(cè)性能進(jìn)行比較。針對(duì)自適應(yīng)檢測(cè)中雜波協(xié)方差矩陣估計(jì)技術(shù)，，介紹了三種雜波協(xié)方差矩陣估計(jì)的方法。為了降低AMF檢測(cè)算法的虛警概率，研究了利用兩級(jí)自適應(yīng)檢測(cè)降低虛警率的算法。為了減小AMF檢測(cè)算法的計(jì)算復(fù)雜度，提出了一種基于FFT的AMF快速算法，并用實(shí)測(cè)海雜波數(shù)據(jù)證明了這種快速算法在降低計(jì)算復(fù)雜度的同時(shí)，還能保持和AMF檢測(cè)算法相當(dāng)?shù)臋z測(cè)性能。 3）海雜波背景下的雷達(dá)性能評(píng)估方法。雷達(dá)性能評(píng)估的精度關(guān)系到雷達(dá)系統(tǒng)設(shè)計(jì)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(cè)盲區(qū)圖的產(chǎn)生方法和基于盲區(qū)圖的雷達(dá)性能評(píng)估方法。利用該方法得到的評(píng)估結(jié)果可以實(shí)現(xiàn)雷達(dá)系統(tǒng)方案、系統(tǒng)參數(shù)和信號(hào)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(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN957.51

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相關(guān)期刊論文 前1條

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