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基于IAA的多通道SAR系统目标测速新方法
引用本文:胡瑞贤, 张博, 石健, 刘保昌, 保铮. 基于IAA的多通道SAR系统目标测速新方法[J]. 电波科学学报, 2014, 29(3): 462-470. doi: 10.13443/j.cjors.2013050601
作者姓名:胡瑞贤  张博  石健  刘保昌  保铮
作者单位:1.中国电子科技集团公司电子科学研究院,北京 100041;2.西安电子科技大学雷达信号处理国防科技重点实验室, 陕西 西安 710071
摘    要:研究了多通道合成孔径雷达地面动目标检测(Synthetic Aperture Radar and Ground Moving Target Indication, SAR-GMTI)系统的目标参数估计问题,提出了一种非参的基于迭代自适应方法的速度估计算法(Iterative Adaptive Approach based Velocity Estimation, IAA-VE).该算法的核心思想是将SAR系统的参数估计问题转化为阵列处理中的幅相估计问题.具体而言,构建一个目标径向速度的阵列流形,通过递归方法求解一个加权最小二乘的代价函数,实现对目标信号的复幅度和径向速度的精确估计.仿真结果表明:IAA-VE算法能够精确高效地估计目标径向速度.另外,实验表明IAA-VE的性能优于已有的一系列参数估计方法.

关 键 词:合成孔径雷达运动目标指示  迭代自适应算法  速度测量
收稿时间:2013-05-03

Novel target velocity estimation method for multichannel SAR system based on iterative adaptive approach
HU Ruixian, ZHANG Bo, SHI Jian, LIU Baochang, BAO Zheng. Novel target velocity estimation method for multichannel SAR system based on iterative adaptive approach[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(3): 462-470. doi: 10.13443/j.cjors.2013050601
Authors:HU Ruixian  ZHANG Bo  SHI Jian  LIU Baochang  BAO Zheng
Affiliation:1.China Academy of Electronics and Information Technology, China Electronic Technology Group Corporation, Beijing 100041, China;2.National Key Laboratory of Science and Technology on Radar Signal Processing, Xidian University, Xi’an Shaanxi 710071, China
Abstract:This paper investigates the problem of motion parameter estimation in multichannel synthetic aperture radar and ground moving target indication (SAR-GMTI) system. A nonparametric, iterative adaptive approach based velocity estimation (IAA-VE) algorithm is presented. The core idea of this algorithm converts motion parameter estimation in the SAR system into solving an amplitude and phase estimation problem in array processing. Specifically, the array manifold of the radial velocity is constructed for the potential moving targets, and a weighted least square cost function is employed to estimate the complex amplitudes and velocities of moving targets with iteration metrics. Simulation results show that the proposed IAA-VE method can estimate the radial velocities of moving targets accurately and efficiently. Moreover, IAA-VE is shown to outperform a number of existing approaches.
Keywords:synthetic aperture radar ground moving target indication (SAR-GMTI)  iterative adaptive approach (IAA)  velocity estimation
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