本文選題：彈道導(dǎo)彈 + 逆合成孔徑雷達(dá)　； 參考：《南京航空航天大學(xué)》2017年碩士論文

【摘要】：逆合成孔徑雷達(dá)(Inverse Synthetic Aperture Radar,ISAR)是一種微波成像系統(tǒng),能夠全天時(shí)、全天候?qū)h(yuǎn)距離目標(biāo)進(jìn)行二維高分辨成像,在軍用與民用方面具有廣闊的應(yīng)用前景,為國(guó)內(nèi)外學(xué)者的研究熱點(diǎn)。彈道導(dǎo)彈(Ballistic Missile,BM)作為世界上極具威脅的戰(zhàn)略武器,開(kāi)展對(duì)其偵測(cè)與識(shí)別技術(shù)的研究對(duì)彈道導(dǎo)彈防御系統(tǒng)具有重要意義。本文圍繞彈道中段目標(biāo)ISAR成像方法展開(kāi)研究,主要研究工作如下:1.研究了彈道中段目標(biāo)特性。首先,研究了彈道中段目標(biāo)的運(yùn)動(dòng)特性,包括其軌道運(yùn)動(dòng)與微動(dòng)特性;然后,分析了彈道中段目標(biāo)回波特性,對(duì)其一維距離像回波進(jìn)行研究,并對(duì)信號(hào)波形及處理方式進(jìn)行選取,為進(jìn)行彈道中段目標(biāo)ISAR成像奠定基礎(chǔ)。2.研究了ISAR成像及補(bǔ)償方法。首先研究了ISAR轉(zhuǎn)臺(tái)成像原理及運(yùn)動(dòng)補(bǔ)償方法,分別選取主要的包絡(luò)對(duì)齊與相位校正方法進(jìn)行仿真分析,并通過(guò)建立評(píng)估系統(tǒng)對(duì)運(yùn)動(dòng)補(bǔ)償方法進(jìn)行選取;其次,研究時(shí)頻分析方法在ISAR成像中的應(yīng)用,通過(guò)仿真分析各方法處理性能。3.研究了彈道中段目標(biāo)ISAR成像方法。建立高速運(yùn)動(dòng)目標(biāo)回波模型,并對(duì)回波處理結(jié)果進(jìn)行分析,通過(guò)采用相應(yīng)的補(bǔ)償方法對(duì)其進(jìn)行補(bǔ)償處理。對(duì)于彈道目標(biāo)中段飛行章動(dòng)運(yùn)動(dòng),通過(guò)選取合適的成像時(shí)間并對(duì)成像結(jié)果篩選得到高質(zhì)量的彈道中段目標(biāo)ISAR成像結(jié)果。4.提出一種實(shí)數(shù)化改進(jìn)AMP圖像重構(gòu)算法。利用實(shí)數(shù)化處理對(duì)方位向字典進(jìn)行處理,然后利用矩陣乘積的向量化與Kronecker積的關(guān)系實(shí)現(xiàn)對(duì)AMP向量迭代算法的矩陣化處理。與已有算法相比,該算法重構(gòu)速度快,重構(gòu)圖像效果出色。通過(guò)采用本文方法與其他重構(gòu)算法對(duì)彈道目標(biāo)進(jìn)行成像仿真,驗(yàn)證了該算法的優(yōu)越性與高效性。
[Abstract]:Inverse Synthetic Aperture radar (ISAR) is a kind of microwave imaging system, which can carry out two-dimensional high-resolution imaging of long distance targets all day and all weather. It has a broad application prospect in military and civilian applications, and has become a hot research topic of domestic and foreign scholars. As the most dangerous strategic weapon in the world, ballistic missile ballistic missile BMM is of great significance to the ballistic missile defense system because of its detection and identification technology. This paper focuses on the ISAR imaging method of the mid-ballistic target. The main research work is as follows: 1. The target characteristics in the middle part of the trajectory are studied. Firstly, the moving characteristics of the target in the middle part of the trajectory, including its orbit motion and fretting motion, are studied, and then, the echo characteristics of the target in the middle part of the trajectory are analyzed, and the one-dimensional range echo is studied. The signal waveforms and processing methods are selected to lay the foundation for the ISAR imaging of the target in the middle part of the trajectory. ISAR imaging and compensation methods are studied. Firstly, the imaging principle and motion compensation method of ISAR turntable are studied, the main envelope alignment and phase correction methods are selected for simulation analysis, and the motion compensation method is selected by establishing an evaluation system. The application of time frequency analysis method in ISAR imaging is studied. The processing performance of each method is analyzed by simulation. In this paper, the ISAR imaging method of the target in the middle part of trajectory is studied. The echo model of high speed moving target is established, and the result of echo processing is analyzed, and the corresponding compensation method is adopted to compensate it. For the middle flight nutation motion of the ballistic target, the high quality ISAR imaging result is obtained by selecting the appropriate imaging time and screening the imaging results. An improved AMP image reconstruction algorithm based on real number is proposed. The azimuth dictionary is processed by real processing, and then the matrix processing of AMP vector iterative algorithm is realized by using the relationship between the vectorization of matrix product and Kronecker product. Compared with the existing algorithms, this algorithm is faster and better in image reconstruction. By using this method and other reconstruction algorithms to simulate the ballistic target, the superiority and efficiency of the algorithm are verified.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN957.52

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