本文選題：SAR動(dòng)目標(biāo)檢測(cè) + DPCA��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：SAR動(dòng)目標(biāo)檢測(cè)(SAR-GMTI)技術(shù)在保證高分辨率的條件下可以實(shí)現(xiàn)動(dòng)目標(biāo)的檢測(cè)、測(cè)速和定位,在軍用和民用領(lǐng)域都具有重要意義,機(jī)載SAR具有很大的靈活性,目前世界各國(guó)都在努力尋求先進(jìn)的動(dòng)目標(biāo)檢測(cè)方法,積極研制高性能的機(jī)載SAR動(dòng)目標(biāo)檢測(cè)系統(tǒng)。本文主要研究了SAR動(dòng)目標(biāo)檢測(cè)技術(shù)以及動(dòng)目標(biāo)的測(cè)速與定位,主要工作包括:1.通過建立SAR動(dòng)目標(biāo)的幾何模型,分析了SAR動(dòng)目標(biāo)回波的模型,分別從目標(biāo)運(yùn)動(dòng)對(duì)多普勒調(diào)頻斜率和多普勒中心的影響分析了動(dòng)目標(biāo)對(duì)SAR成像的影響,并且通過RD算法進(jìn)行了仿真驗(yàn)證;分析了動(dòng)目標(biāo)對(duì)距離徙動(dòng)的影響。2.研究了SAR的地雜波和恒虛警處理,深入分析了K雜波模型,對(duì)其進(jìn)行成像。建立了雙通道SAR系統(tǒng)慢速運(yùn)動(dòng)目標(biāo)的檢測(cè)模型,分析了DPCA算法與AT I技術(shù)檢測(cè)動(dòng)目標(biāo)基本原理,詳細(xì)推倒了兩者的基本公式,給出檢測(cè)流程圖,并且進(jìn)行實(shí)驗(yàn)仿真驗(yàn)證;分析了DPCA和ATI算法的性能,研究了存在通道誤差時(shí)對(duì)檢測(cè)性能的影響;在不同信噪比、不同速度和不同信雜比三種情況下對(duì)比了兩種算法的檢測(cè)性能,得出了DPCA受噪聲影響明顯、ATI受雜波影響明顯的結(jié)論并給出了理論分析。3.分析了分?jǐn)?shù)階傅里葉變化(FrFT)檢測(cè)線性調(diào)頻信號(hào)與參數(shù)估計(jì)原理;利用分?jǐn)?shù)階傅里葉變換對(duì)線性調(diào)頻信號(hào)的篩選性和DPCA對(duì)雜波良好的擬制,將DPC A技術(shù)與Fr FT有機(jī)的結(jié)合進(jìn)行動(dòng)目標(biāo)檢測(cè)與參數(shù)估計(jì);建立了三通道DPCA檢測(cè)動(dòng)目標(biāo)的幾何模型,采用CFAR技術(shù)檢測(cè)出有動(dòng)目標(biāo)后,利用FrFT和雙路DPCA信號(hào)峰值幅度比進(jìn)行參數(shù)估計(jì),對(duì)目標(biāo)進(jìn)行測(cè)速與定位;研究了多個(gè)動(dòng)目標(biāo)的檢測(cè)方法;在含有噪聲和雜波的情況下驗(yàn)證了算法的有效性。
[Abstract]:SAR-GMTI (SAR moving Target Detection) technology can realize moving target detection, velocity measurement and positioning under the condition of high resolution. It is of great significance in both military and civil fields, and airborne SAR has great flexibility. At present, countries all over the world are trying to find advanced moving target detection methods, and actively develop high performance airborne SAR moving target detection system. This paper mainly studies the SAR moving target detection technology and the velocity and location of moving target, the main work includes: 1. By establishing the geometric model of moving SAR target, the model of SAR moving target echo is analyzed, and the influence of moving target on SAR imaging is analyzed from the effects of target motion on Doppler frequency modulation slope and Doppler center, respectively. The simulation results are verified by Rd algorithm, and the effect of moving target on range migration is analyzed. The ground clutter and CFAR processing of SAR are studied, and the K-clutter model is deeply analyzed and imaged. The detection model of slow-moving target in two-channel SAR system is established. The basic principle of DPCA algorithm and ATI technique is analyzed, the basic formulas of the two methods are pushed down in detail, the flow chart of detection is given, and the experimental results are verified by simulation. The performance of DPCA and ATI algorithm is analyzed, and the influence of channel error on detection performance is studied, and the detection performance of the two algorithms is compared under three conditions: different signal-to-noise ratio, different speed and different signal-to-clutter ratio. The conclusion that DPCA is obviously affected by noise and ATI is influenced by clutter is obtained and the theoretical analysis is given. The principle of linear frequency modulation (LFM) signal detection and parameter estimation by fractional-order Fourier transform (FrFT) is analyzed, the screening of LFM signal by fractional Fourier transform (FFT) and the good simulation of clutter by DPCA are analyzed. The moving target detection and parameter estimation are carried out by combining DPC A technology with Fr FT, and the geometric model of moving target detection by three-channel DPCA is established, and the moving target is detected by CFAR technique. The parameters are estimated by using FrFT and dual DPCA signal peak amplitude ratio to detect the velocity and location of the target, and the detection method of multiple moving targets is studied, and the effectiveness of the algorithm is verified under the condition of noise and clutter.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.52
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本文編號(hào)：2032939