双站超宽带穿墙雷达高分辨目标边界快速成像算法研究

发布时间：2018-07-27 21:04

【摘要】：超宽带穿墙雷达在穿墙成像方面具有分辨率高，抗干扰能力强等特点，在探测、救援、反恐、安检、以及战争等领域具有巨大潜力，其成像算法也是近几年国内外学者研究的热点与难点。为解决传统超宽带穿墙雷达后向投影（Back-Projecion）成像算法不利于实时成像且成像模糊的问题，基于目标边界成像的成像算法成为近年来研究的重点。SEABED算法与Envelope算法是常用的目标边界成像算法，但此类算法存在抗噪性差或准确性不佳等缺陷。本文以收发分置（双站）天线为观测系统，结合现有目标边界成像算法，对高分辨快速目标边界成像算法进行了研究，主要工作概括如下：本文采用收发分置天线，提出一种基于椭圆包络线原理的成像算法。通过分析目标边界与天线坐标之间的几何结构，构造与目标边界相切的椭圆模型推导两者的映射关系，完成穿墙成像的目标边界重建。理论分析和实验结果表明，该算法能提高成像的抗噪性与准确性，增强算法穿墙成像的性能。针对目标的三维成像，本文提出一种基于椭球包络面原理的超宽带穿墙雷达三维成像算法。该算法利用收发分置天线与目标体的几何位置关系，构造与其边界相切的椭球模型，并根据此关系利用椭球表面等效还原出实际的目标体边界。理论分析与仿真结果表明，该算法能在噪声环境下对目标体边界进行三维穿墙成像，更利于在实际场景中的应用。针对运动目标成像，本文提出一种基于椭圆包络线原理的超宽带穿墙雷达运动目标成像算法。该算法通过收发分置天线与目标边界的几何关系构造椭圆包络线，通过等效圆圆心的运动轨迹函数联接各个时刻的成像点，完成对目标边界的还原过程。实验结果表明，，该算法不仅能对墙体外作随机曲线运动的目标体边界完成重建，而且具有较高的抗噪性、精确性以及实时性。
[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.
【学位授予单位】：桂林电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.52

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