本文選題：高分辨率SAR　切入點(diǎn)：散射中心模型　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著合成孔徑雷達(dá)(SAR)的分辨率越來越高,SAR對信息獲取的能力也越來越強(qiáng)。為了有效保護(hù)我方主要軍事單位的保密性,迷惑對方的信息獲取結(jié)果,對高分辨率SAR進(jìn)行高精細(xì)度欺騙干擾具有重要的研究價值�，F(xiàn)今的對欺騙干擾的研究,國內(nèi)還主要停留在對點(diǎn)目標(biāo),以及用低分辨率目標(biāo)散射分布進(jìn)行欺騙干擾,難以達(dá)到對高分辨率SAR欺騙干擾的迷惑性和真實性要求�；谀繕�(biāo)精細(xì)紋理特征的提取,對高精細(xì)度目標(biāo)散射分布生成方法進(jìn)行研究,以及基于高精細(xì)的特征生成欺騙干擾信號,是本文研究的主要內(nèi)容。本文先通過仿真,分析了基本散射體在高頻電磁波下的散射特性,在此基礎(chǔ)上論證了兩種散射中心模型的推導(dǎo)理論依據(jù),對兩種散射中心模型的參數(shù)意義和性能進(jìn)行了分析。研究了基于兩種散射中心模型的特征的提取原理及其性能,通過實驗證明了散射中心模型及其特征提取方法的有效性,并以MSTAR典型復(fù)雜軍事目標(biāo)數(shù)據(jù)為對象,在目標(biāo)分別進(jìn)行理想散射中心和屬性散射中心建模的基礎(chǔ)上,對圖像數(shù)據(jù)進(jìn)行感興趣區(qū)域提取,散射中心區(qū)域分割,通過對散射中心的參數(shù)估計,得到目標(biāo)的散射中心特征向量組,作為SAR欺騙干擾目標(biāo)的特征。對兩種散射中心特征提取結(jié)果進(jìn)行對比分析,說明其優(yōu)缺點(diǎn)�；谏⑸渲行奶卣魈崛〉慕Y(jié)果,對目標(biāo)進(jìn)行散射中心特征重構(gòu),分析重構(gòu)目標(biāo)與原目標(biāo)的相似度。同時,基于同型號目標(biāo)在鄰近方位角下的散射中心特征,提出了一種未知角度下的目標(biāo)特征擬合及重構(gòu)方法。在兩種散射中心模型重構(gòu)圖像的基礎(chǔ)上,分別提出了適合兩種模型的重構(gòu)圖像回波調(diào)制方法,并進(jìn)行欺騙干擾的仿真實驗。對欺騙干擾的結(jié)果,使用圖像距離、相關(guān)性、幾何特征等特征,以及干擾目標(biāo)的散射中心特征再提取法,評估了干擾目標(biāo)的相似度。最后應(yīng)用目標(biāo)識別系統(tǒng),對干擾目標(biāo)圖像進(jìn)行了識別。
[Abstract]:With the increasing resolution of synthetic Aperture Radar (SAR), SAR has become more and more capable of obtaining information. In order to effectively protect the confidentiality of our main military units and confuse the other side's information acquisition results, It is of great value to study high precision deception jamming in high resolution SAR. Nowadays, the research on deception jamming is mainly focused on the point target and the scattering distribution of low resolution target. It is difficult to meet the requirements of high resolution SAR spoofing jamming. Based on the extraction of fine texture features of the target, the scattering distribution generation method of high precision target is studied. The main content of this paper is to generate deceptive interference signals based on high precision features. Firstly, the scattering characteristics of basic scatterers under high frequency electromagnetic waves are analyzed by simulation. On this basis, the theoretical basis for the derivation of two scattering center models is demonstrated, the parameter significance and performance of the two scattering center models are analyzed, and the principle and performance of feature extraction based on the two scattering center models are studied. The effectiveness of the scattering center model and its feature extraction method is proved by experiments. Taking the MSTAR typical complex military target data as the object, the ideal scattering center and the attribute scattering center of the target are modeled, respectively. The region of interest is extracted from the image data, the scattering center region is segmented, and the characteristic vector group of the scattering center is obtained by estimating the parameters of the scattering center. As the feature of SAR spoofing jamming target, the feature extraction results of two scattering centers are compared and analyzed, and their advantages and disadvantages are illustrated. Based on the result of the feature extraction of scattering center, the scattering center feature of the target is reconstructed. The similarity between the reconstructed target and the original target is analyzed. At the same time, based on the scattering center characteristics of the same target in the adjacent azimuth, A method of target feature fitting and reconstruction at unknown angle is proposed. Based on the reconstruction of two scattering center models, the echo modulation methods suitable for the two models are proposed respectively. And the simulation experiment of deception jamming is carried out. For the result of deception jamming, the image distance, correlation, geometric features and the scattering center feature of the jamming target are extracted again. The similarity of jamming target is evaluated. Finally, the target image is recognized by using target recognition system.
【學(xué)位授予單位】：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】：TN974

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本文編號：1624177