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  本文關(guān)鍵詞： 微多普勒 鬼影點 干涉相位 空域?qū)蚴噶?改善因子　出處：《西安電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：目前,有關(guān)合成孔徑雷達地面運動目標(biāo)檢測技術(shù)的研究主要集中于勻速或勻加速等平動的運動目標(biāo),且一般采用二階近似距離模型對其進行重聚焦成像。而實際上,地面運動目標(biāo)存在如擺動,振動,旋轉(zhuǎn)等周期性的微動形式,此時傳統(tǒng)的距離近似模型不能準(zhǔn)確描述微動目標(biāo)的斜距歷程。本文首先建立了多通道合成孔徑雷達體制下海面擺動散射點及地面振動、旋轉(zhuǎn)散射點的微動目標(biāo)幾何模型,比較了傳統(tǒng)多項式展開理論與成對回波理論在目標(biāo)斜距展開時的適用范圍和應(yīng)用條件。得出若目標(biāo)存在周期性的微動,則利用成對回波理論對其斜距進行展開比利用多項式展開更加準(zhǔn)確。其次,介紹了前人在雙通道合成孔徑雷達體制下對地面振動目標(biāo)回波在數(shù)據(jù)域中進行檢測及雜波抑制的處理方法,分析了該類方法的局限性和不準(zhǔn)確性。借助鬼影點成對回波理論與SAR-RD算法,推導(dǎo)出了微動目標(biāo)回波在圖像域內(nèi)的矢量表達式,分析了微動對單通道方位散焦的影響并推導(dǎo)出了地面振動目標(biāo)的通道間干涉相位。建立回波鬼影點的歸一化幅度及鬼影點空域?qū)蚴噶颗c雜波空域?qū)蚴噶块g相關(guān)系數(shù)這兩個性能指標(biāo),仿真驗證了在較強雜波環(huán)境中,利用鬼影點對地面運動目標(biāo)進行檢測仍具有良好的改善因子性能。
[Abstract]:At present, the research of synthetic Aperture Radar (SAR) ground moving target detection is mainly focused on the translational target with uniform velocity or uniform acceleration. And the second-order approximate distance model is generally used to refocus the image, but in fact, there are periodic fretting forms such as swing, vibration, rotation and so on. At this point, the traditional distance approximation model can not accurately describe the oblique distance history of fretting target. In this paper, firstly, the scattering points of sea surface swing and ground vibration under multi-channel synthetic aperture radar (SAR) system are established. In this paper, the geometric model of the micro-moving target with rotating scattering points is presented. The application of the traditional polynomial expansion theory and the pairwise echo theory to the oblique distance expansion of the target is compared, and the periodic fretting of the target is obtained. Then using the pairwise echo theory to expand the oblique distance is more accurate than the polynomial expansion. Secondly. This paper introduces the methods of detecting and suppressing clutter of ground vibration target in data domain under the dual channel synthetic aperture radar (SAR) system. The limitations and inaccuracies of this method are analyzed, and the vector expression of fretting target echo in image domain is derived with the help of ghost point pair echo theory and SAR-RD algorithm. The influence of fretting on single channel azimuth defocusing is analyzed and the interchannel interference phase of ground vibration target is deduced. The normalized amplitude of echo ghost point and the phase between spatial guidance vector and clutter guidance vector are established. The relationship number is two performance indexes. Simulation results show that in a strong clutter environment, the detection of ground moving targets by ghost points still has a good performance of improvement factor.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN957.51

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