【摘要】 基于超宽带雷达的穿墙成像技术在灾难救援和反恐作战等非侵入式探测领域有着广泛的应用前景,而这些应用领域往往需要对探测目标的高分辨成像以确定其边界形状。该文针对这一需求,提出一种基于超宽带雷达的边界成像算法从而实现墙后目标的外形估计及识别。该算法假定在近场探测条件下,利用提出的回波时延差关系曲线确定回波的入射方向,进而消除墙体影响,对墙后目标进行有效的边界估计。对具有不同边界的目标进行的仿真和实验结果表明,该算法能够有效补偿墙体影响,目标边界估计效果好,达到依据估计的目标外形实现目标初步识别的要求。更多还原

【Abstract】 Through-wall imaging techniques with Ultra-WideBand(UWB) radar are promising candidates for non-destructive detection,especially in disaster areas like calamity rescue scenarios,counter-terrorism and so on.These applications always require high-resolution target imaging to identify the object shape.Based on this requirement,a complex target boundary imaging algorithm for UWB radar is proposed to realize the shape estimation and identification of the target behind walls.As the application is a near field problem,the algorithm offsets the influence from walls using the incident angle of the radar echo calculated by the time-delay difference curve,and estimates the target boundary effectively.Simulation and experimental results of targets behind walls with different shapes show that the proposed algorithm can remove the influence from walls,estimate the target boundary effectively and realize the basic target identification.更多还原