【摘要】：超寬帶穿墻雷達(dá)在穿墻成像方面具有分辨率高，抗干擾能力強(qiáng)等特點(diǎn)，在探測(cè)、救援、反恐、安檢、以及戰(zhàn)爭(zhēng)等領(lǐng)域具有巨大潛力，其成像算法也是近幾年國內(nèi)外學(xué)者研究的熱點(diǎn)與難點(diǎn)。為解決傳統(tǒng)超寬帶穿墻雷達(dá)后向投影（Back-Projecion）成像算法不利于實(shí)時(shí)成像且成像模糊的問題，基于目標(biāo)邊界成像的成像算法成為近年來研究的重點(diǎn)。SEABED算法與Envelope算法是常用的目標(biāo)邊界成像算法，但此類算法存在抗噪性差或準(zhǔn)確性不佳等缺陷。本文以收發(fā)分置（雙站）天線為觀測(cè)系統(tǒng)，結(jié)合現(xiàn)有目標(biāo)邊界成像算法，對(duì)高分辨快速目標(biāo)邊界成像算法進(jìn)行了研究，主要工作概括如下： 本文采用收發(fā)分置天線，提出一種基于橢圓包絡(luò)線原理的成像算法。通過分析目標(biāo)邊界與天線坐標(biāo)之間的幾何結(jié)構(gòu)，構(gòu)造與目標(biāo)邊界相切的橢圓模型推導(dǎo)兩者的映射關(guān)系，完成穿墻成像的目標(biāo)邊界重建。理論分析和實(shí)驗(yàn)結(jié)果表明，該算法能提高成像的抗噪性與準(zhǔn)確性，增強(qiáng)算法穿墻成像的性能。 針對(duì)目標(biāo)的三維成像，本文提出一種基于橢球包絡(luò)面原理的超寬帶穿墻雷達(dá)三維成像算法。該算法利用收發(fā)分置天線與目標(biāo)體的幾何位置關(guān)系，構(gòu)造與其邊界相切的橢球模型，并根據(jù)此關(guān)系利用橢球表面等效還原出實(shí)際的目標(biāo)體邊界。理論分析與仿真結(jié)果表明，該算法能在噪聲環(huán)境下對(duì)目標(biāo)體邊界進(jìn)行三維穿墻成像，更利于在實(shí)際場(chǎng)景中的應(yīng)用。 針對(duì)運(yùn)動(dòng)目標(biāo)成像，本文提出一種基于橢圓包絡(luò)線原理的超寬帶穿墻雷達(dá)運(yùn)動(dòng)目標(biāo)成像算法。該算法通過收發(fā)分置天線與目標(biāo)邊界的幾何關(guān)系構(gòu)造橢圓包絡(luò)線，通過等效圓圓心的運(yùn)動(dòng)軌跡函數(shù)聯(lián)接各個(gè)時(shí)刻的成像點(diǎn)，完成對(duì)目標(biāo)邊界的還原過程。實(shí)驗(yàn)結(jié)果表明，，該算法不僅能對(duì)墻體外作隨機(jī)曲線運(yùn)動(dòng)的目標(biāo)體邊界完成重建，而且具有較高的抗噪性、精確性以及實(shí)時(shí)性。
[Abstract]:Ultra-Wideband Wide-penetrating Radar (UWB) has the advantages of high resolution and strong anti-jamming ability in wall imaging, and has great potential in the fields of detection, rescue, anti-terrorism, security, and war. Its imaging algorithm is also a hot and difficult point for scholars at home and abroad in recent years. In order to solve the problem that the traditional back-projection (Back-Projecion) imaging algorithm of ultra-wideband wall-penetrating radar is not conducive to real-time imaging and imaging blur. In recent years, the imaging algorithm based on target boundary imaging has become the focus of research. SEABED algorithm and Envelope algorithm are commonly used in target boundary imaging algorithm, but these algorithms have some shortcomings such as poor noise resistance and poor accuracy. In this paper, the high resolution and fast target boundary imaging algorithm is studied by using the transceiver (bistatic) antenna as the observation system and the existing target boundary imaging algorithm. The main work is summarized as follows: in this paper, the transceiver antenna is used. An imaging algorithm based on elliptical envelope principle is proposed. By analyzing the geometric structure between the target boundary and the antenna coordinates, an elliptic model with tangent boundary of the target is constructed to derive the mapping relationship between the two, and the target boundary reconstruction of the imaging through the wall is completed. The theoretical analysis and experimental results show that the algorithm can improve the noise resistance and accuracy of the image, and enhance the performance of the algorithm. A 3D imaging algorithm for UWB penetrating wall radar based on ellipsoid envelope principle is proposed. Based on the geometric position relationship between the transceiver antenna and the object, the ellipsoid model with tangent boundary is constructed, and the actual object boundary is reduced by using the ellipsoidal surface equivalent. Theoretical analysis and simulation results show that the algorithm can be used to image the boundary of the object in noise environment, and it is more suitable for the application in the actual scene. In this paper, an imaging algorithm for moving target of UWB wall-penetrating radar based on elliptical envelope principle is proposed. The elliptical envelope is constructed by the geometric relationship between the transceiver antenna and the target boundary, and the imaging points at each moment are connected by the equivalent circular center motion trajectory function, and the restoration process of the target boundary is completed. The experimental results show that the proposed algorithm can not only reconstruct the boundary of the object with random curve motion outside the wall, but also has high noise resistance, accuracy and real-time performance.
【學(xué)位授予單位】：桂林電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.52

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 王宏;周正歐;李廷軍;孔令講;;超寬帶脈沖穿墻雷達(dá)互相關(guān)BP成像[J];電子科技大學(xué)學(xué)報(bào);2011年01期

2 黃瓊;吳世有;孟升衛(wèi);陳潔;方廣有;;基于超寬帶雷達(dá)的運(yùn)動(dòng)人體目標(biāo)跟蹤成像算法[J];電子學(xué)報(bào);2011年03期

3 吳世有;黃瓊;陳潔;孟升衛(wèi);方廣有;陰和俊;;基于超寬帶穿墻雷達(dá)的目標(biāo)定位識(shí)別算法[J];電子與信息學(xué)報(bào);2010年11期

4 吳世有;譚愷;徐艷云;邵金進(jìn);陳超;方廣有;陰和俊;;超寬帶穿墻雷達(dá)天線陣列配置分析及運(yùn)動(dòng)人體跟蹤成像算法[J];電子與信息學(xué)報(bào);2012年11期

5 黃瓊;陳潔;孟升衛(wèi);方廣有;;超寬帶穿墻雷達(dá)三維快速成像算法[J];數(shù)據(jù)采集與處理;2009年S1期

6 羅超;林云;;超寬帶穿墻雷達(dá)的非相干和相干成像算法[J];山西電子技術(shù);2013年01期

7 孟升衛(wèi);黃瓊;吳世有;陳潔;方廣有;;超寬帶穿墻雷達(dá)動(dòng)目標(biāo)跟蹤成像算法研究[J];儀器儀表學(xué)報(bào);2010年03期

8 陳潔;方廣有;李芳;;超寬帶穿墻雷達(dá)非相干成像方法[J];中國科學(xué)院研究生院學(xué)報(bào);2007年06期

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