基于IAA的多通道SAR系统目标测速新方法

发布时间：2018-05-28 09:24

本文选题：合成孔径雷达运动目标指示 + 迭代自适应算法　；参考：《电波科学学报》2014年03期

【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.
[Abstract]:In this paper, the problem of target parameter estimation in synthetic Aperture Radar and Ground Moving Target determination (SAR-GMTI) system for multi-channel SAR ground moving target detection is studied. A non-parametric iterative adaptive method based velocity estimation algorithm is proposed. The key idea of the algorithm is to transform the parameter estimation problem of SAR system into the amplitude and phase estimation problem in array processing. In particular, an array manifold of the radial velocity of the target is constructed, and a cost function of the weighted least squares is solved by recursive method to estimate accurately the complex amplitude and radial velocity of the target signal. The simulation results show that the ratio IAA-VE algorithm can accurately and efficiently estimate the radial velocity of the target. In addition, experiments show that the performance of IAA-VE is better than that of a series of existing parameter estimation methods.
【作者单位】：中国电子科技集团公司电子科学研究院;西安电子科技大学雷达信号处理国防科技重点实验室;
【分类号】：TN957.51

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