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基于稳健波束形成的超宽带穿墙成像方法
引用本文:晋良念,欧阳缮,谢跃雷,肖海林. 基于稳健波束形成的超宽带穿墙成像方法[J]. 系统工程与电子技术, 2011, 33(1): 208-0212. DOI: 10.3969/j.issn.1001 506X.2011.01.42
作者姓名:晋良念  欧阳缮  谢跃雷  肖海林
作者单位:1. 西安电子科技大学电子工程学院, 陕西 西安 710071;;2. 桂林电子科技大学信息与通信学院, 广西 桂林 541004
基金项目:国家自然科学基金(60572054); 教育部留学回国人员基金; 广西科学技术研究与技术开发项目(05112001-7A)资助课题
摘    要:针对现有超宽带穿墙雷达时域波束成像分辨率低、旁瓣高以及干扰抑制能力弱等问题,提出利用稳健Capon波束形成对目标成像的方法。该方法基于目标回波模型首先补偿近场扩散损耗、墙体传播损耗和折射效应,实现天线阵列接收数据的配准,利用稳健Capon波束成像得到良好的成像分辨率和更好的干扰抑制能力。利用时域有限差分(finite-difference time domain, FDTD)数值仿真和实验数据实现了隐藏目标的二维成像,验证了该方法的有效性。

关 键 词:超宽带雷达  穿墙成像  稳健Capon波束形成  目标回波模型

Ultra-wideband through-the-wall imaging based on robust adaptive beamforming
JIN Liang-nian,OUYANG Shan,ME Yue-lei,XIAO Hai-lin. Ultra-wideband through-the-wall imaging based on robust adaptive beamforming[J]. System Engineering and Electronics, 2011, 33(1): 208-0212. DOI: 10.3969/j.issn.1001 506X.2011.01.42
Authors:JIN Liang-nian  OUYANG Shan  ME Yue-lei  XIAO Hai-lin
Affiliation:1. School of Electronic Engineering, Xidian University, Xi’an 710071, China;;2. School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China
Abstract:The existing time-domain beamforming imaging methods for ultra-wideband (UWB) through-the-wall radar suffer from low-resolution, high sidelobe levels and poor interference suppression capabilities. In order to solve the problems, the data-adaptive robust Capon beamformer (RCB) method is proposed for through-the-wall imaging applications. The received signals from all channels are alligned by compensating for geometric attenutation, wall propagation attenutation and refraction effects. Then the RCB imaging method is applied to achieve much better resolution and much better interference suppression capabilities. The effectiveness of the proposed method is demonstrated by achieving two dimensional images of hidden targets based on FDTD numerical simulations and the experimentally measured data.
Keywords:ultra-wideband (UWB) radar  through-the-wall imaging  robust Capon beamformer (RCB)  target echo model
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