【摘要】：合成孔徑雷達(dá)(Synthetic Aperture Radar,SAR)作為一種全天時(shí)、全天候、大范圍、高分辨的新型傳感器,其不僅僅被應(yīng)用于軍事領(lǐng)域,還被廣泛應(yīng)用于社會經(jīng)濟(jì)的發(fā)展中。現(xiàn)代雷達(dá)面臨著日益復(fù)雜的電磁環(huán)境,各種無源與有源干擾給雷達(dá)正常發(fā)揮帶來了嚴(yán)峻挑戰(zhàn)。相比無源干擾,雷達(dá)有源干擾對雷達(dá)具有更強(qiáng)的針對性及靈活性,已成為威脅現(xiàn)代雷達(dá)的主要手段之一。由于新的有源干擾樣式的不斷出現(xiàn),因此,針對SAR進(jìn)行抗干擾的技術(shù)研究成為了軍事信息對抗研究領(lǐng)域中的一項(xiàng)重要課題。本文主要研究了SAR抗有源干擾的方法及基于壓縮感知的抗干擾圖像重建的方法,主要內(nèi)容及創(chuàng)新工作包括:首先,詳細(xì)敘述了SAR研究背景與意義,SAR抗干擾技術(shù)的研究現(xiàn)狀,壓縮感知的發(fā)展與應(yīng)用,研究了SAR成像、欺騙干擾及壓縮感知基本原理,提出將壓縮感知理論應(yīng)用于SAR抗欺騙干擾研究。然后,研究了SAR方位向非均勻采樣的抗干擾原理及性能,分析了經(jīng)典的基于頻域精確重構(gòu)算法,并構(gòu)建了非均勻脈沖SAR的壓縮感知測量模型,最后通過仿真將基于壓縮感知的重建算法和傳統(tǒng)重建算法進(jìn)行了對比分析。最后,為了降低傳統(tǒng)的隨機(jī)非均勻采樣的數(shù)據(jù)冗余,構(gòu)建了基于互質(zhì)采樣與嵌入式采樣的稀疏非均勻采樣SAR模型,分析了采樣抖動(dòng)對該采樣方式成像結(jié)果的影響,并給出了基于壓縮感知的稀疏非均勻采樣算法流程圖,計(jì)算機(jī)仿真數(shù)據(jù)與實(shí)際數(shù)據(jù)表明該方法的有效性。
[Abstract]:Synthetic Aperture Radar (Synthetic Aperture Radar,SAR) is a new type of sensor, which is applied not only in military field, but also in the development of social economy. Modern radar is faced with increasingly complex electromagnetic environment. Various passive and active jamming bring severe challenge to radar. Compared with passive jamming, radar active jamming has more pertinence and flexibility to radar, and has become one of the main methods threatening modern radar. Because of the emergence of new active jamming patterns, the research of anti-jamming technology for SAR has become an important subject in the field of military information countermeasure. This paper mainly studies the methods of SAR anti-active jamming and anti-jamming image reconstruction based on compression perception. The main contents and innovations are as follows: firstly, the background and significance of SAR research and the research status of SAR anti-jamming technology are described in detail. The basic principles of SAR imaging, deception jamming and compression sensing are studied. The theory of compression sensing is applied to the study of SAR anti-deception interference. Then, the anti-jamming principle and performance of SAR azimuth nonuniform sampling is studied, the classical accurate reconstruction algorithm based on frequency domain is analyzed, and the compression sensing measurement model of non-uniform pulse SAR is constructed. Finally, the compression perception based reconstruction algorithm and the traditional reconstruction algorithm are compared and analyzed by simulation. Finally, in order to reduce the data redundancy of traditional random non-uniform sampling, a sparse non-uniform sampling SAR model based on mutual-quality sampling and embedded sampling is constructed, and the influence of sampling jitter on the imaging results is analyzed. The flow chart of sparse non-uniform sampling algorithm based on compressed sensing is given. The computer simulation data and the actual data show the effectiveness of the method.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN957.52

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本文編號：2278026