發(fā)布時(shí)間：2018-04-16 18:44

  本文選題：動(dòng)目標(biāo)顯示 + 動(dòng)目標(biāo)檢測(cè)��； 參考：《西安電子科技大學(xué)》2015年碩士論文

【摘要】：雜波抑制技術(shù)是雷達(dá)在雜波背景下檢測(cè)目標(biāo)的一種重要手段。如何對(duì)海面的小型低速目標(biāo)進(jìn)行有效的檢測(cè)是一個(gè)值得研究的問題。本文圍繞慢動(dòng)雜波自適應(yīng)濾波器設(shè)計(jì)及幀間相關(guān)處理技術(shù)展開了相關(guān)的研究。主要工作概括如下:1、動(dòng)目標(biāo)顯示濾波器設(shè)計(jì)方法研究。從雜波特性的分析出發(fā),介紹了傳統(tǒng)的延遲線對(duì)消器和優(yōu)化設(shè)計(jì)的MTI濾波器,著重仿真分析了預(yù)測(cè)誤差法、特征矢量法和零點(diǎn)分配法三種MTI濾波器設(shè)計(jì)方法。據(jù)此介紹了變T模式下時(shí)變級(jí)聯(lián)濾波器的設(shè)計(jì)方法。為了使MTI濾波器獲得更好的通帶性能,分析了使用遺傳算法優(yōu)化參差碼的方法。然后詳細(xì)介紹了三種雜波多普勒頻率的估計(jì)方法,并進(jìn)行了仿真對(duì)比分析。仿真結(jié)果表明:雜波較強(qiáng)時(shí),應(yīng)采用零點(diǎn)分配法設(shè)計(jì)MTI濾波器;雜波較弱時(shí),可以采用預(yù)測(cè)誤差法或特征矢量法設(shè)計(jì)MTI濾波器。同時(shí)變T模式下,可以采用線性相位法估計(jì)雜波多普勒頻率,等T模式下可以采用相關(guān)函數(shù)法估計(jì)雜波多普勒頻率。最后對(duì)實(shí)測(cè)數(shù)據(jù)進(jìn)行了初步的處理。2、動(dòng)目標(biāo)檢測(cè)濾波器設(shè)計(jì)和低速目標(biāo)檢測(cè)研究。詳細(xì)介紹了幾種MTD濾波器的設(shè)計(jì)方法,包括MTI級(jí)聯(lián)FFT濾波器組、點(diǎn)多普勒濾波器組以及等間隔多普勒濾波器組。然后介紹了基于超雜波檢測(cè)和基于零頻抑制兩種低速目標(biāo)檢測(cè)方法,并進(jìn)行了仿真分析。仿真結(jié)果表明了兩種方法的有效性。3、幀間相關(guān)處理技術(shù)研究。首先介紹了對(duì)雷達(dá)回波數(shù)據(jù)進(jìn)行積累的兩種方法,并進(jìn)行了仿真對(duì)比分析。然后對(duì)幀間相關(guān)處理中目標(biāo)的回波模型進(jìn)行了詳細(xì)的分析,在此基礎(chǔ)上給出了幀間相關(guān)處理的一般流程,對(duì)處理流程中的脈沖選取、脈壓、MTD處理、目標(biāo)跨越距離單元數(shù)補(bǔ)償以及幀間非相干積累這五個(gè)模塊進(jìn)行了詳細(xì)介紹,并進(jìn)行了仿真分析。最后結(jié)合實(shí)測(cè)數(shù)據(jù)處理,驗(yàn)證了該處理流程的有效性。
[Abstract]:Clutter suppression is an important method for radar target detection in clutter background.How to detect small-scale low-speed targets is a problem worth studying.This paper focuses on the design of adaptive filter for slow moving clutter and the technology of inter-frame correlation processing.The main work is summarized as follows: 1. Research on the design method of moving target display filter.Based on the analysis of clutter characteristics, the traditional delay line canceller and the optimized MTI filter are introduced. The three design methods of MTI filter, namely, prediction error method, characteristic vector method and zero point assignment method, are simulated and analyzed.Based on this, the design method of time-varying cascade filter in variable T mode is introduced.In order to obtain better passband performance of MTI filters, the genetic algorithm is used to optimize the staggered codes.Then, three kinds of clutter Doppler frequency estimation methods are introduced in detail, and the simulation results are compared.The simulation results show that the MTI filter should be designed by zero distribution method when the clutter is strong, and the MTI filter can be designed by the prediction error method or the characteristic vector method when the clutter is weak.At the same time, the Doppler frequency of clutter can be estimated by linear phase method under variable T mode, and the Doppler frequency of clutter can be estimated by correlation function method in T mode.Finally, the experimental data are processed. 2, the filter design of moving target detection and the research of low speed target detection.Several design methods of MTD filter are introduced in detail, including MTI cascade FFT filter bank, point Doppler filter bank and equal-interval Doppler filter bank.Then two low speed target detection methods based on super clutter detection and zero frequency suppression are introduced and simulated.Simulation results show the effectiveness of the two methods.Firstly, two methods of radar echo data accumulation are introduced, and the simulation results are compared.Then, the echo model of the target in inter-frame correlation processing is analyzed in detail. Based on this, the general process of inter-frame correlation processing is given, and the pulse selection, pulse compression and MTD processing in the processing flow are given.The five modules of target span distance compensation and inter-frame incoherent accumulation are introduced in detail, and the simulation analysis is carried out.Finally, the validity of the process is verified by combining the measured data processing.
【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】：2015
【分類號(hào)】：TN95;TN713

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