Radial Velocity Estimation of Moving Targets Based on Modifying the Steering Vector with Wiener Optimal Weights in SAR-GMTI Radar System

SHU Yu-xiang; LIAO Gui-sheng; YANG Zhi-wei

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Radial Velocity Estimation of Moving Targets Based on Modifying the Steering Vector with Wiener Optimal Weights in SAR-GMTI Radar System

更新时间：2025-07-16

- Radial Velocity Estimation of Moving Targets Based on Modifying the Steering Vector with Wiener Optimal Weights in SAR-GMTI Radar System
- Acta Electronica Sinica Vol. 39, Issue 9, Pages: 1986-1991(2011)
- 作者机构：
  
  西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2011
- 稿件说明：
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SHU Yu-xiang, LIAO Gui-sheng, YANG Zhi-wei. Radial Velocity Estimation of Moving Targets Based on Modifying the Steering Vector with Wiener Optimal Weights in SAR-GMTI Radar System[J]. Acta Electronica Sinica, 2011, 39(9): 1986-1991.
DOI：

SHU Yu-xiang, LIAO Gui-sheng, YANG Zhi-wei. Radial Velocity Estimation of Moving Targets Based on Modifying the Steering Vector with Wiener Optimal Weights in SAR-GMTI Radar System[J]. Acta Electronica Sinica, 2011, 39(9): 1986-1991. DOI：

摘要

针对通道幅相误差和图像配准误差等非理想因素导致动目标径向速度估计性能下降问题

本文提出利用维纳滤波最优权修正导向矢量的动目标径向速度估计方法.该方法利用抑制杂波的维纳滤波最优权矢量对动目标理想导向矢量加权处理获得修正导向矢量

并采用匹配滤波算法估计动目标径向速度.仿真数据和某机载多通道SAR-GMTI实测数据处理表明

所提方法对通道幅相误差和图像配准误差稳健

在图像相邻像素存在较大相关性时仍可获得较高的动目标径向速度估计精度.

Abstract

For the purpose of overcoming the influence of non-ideal factors on the performance of the radial velocity estimation

such as the channel gain and phase response error and image registration error

a new match filtering algorithm based on modifying the steering vector with the optimal weights for Wiener filtering is proposed.The validity and superiority of this method are experimentally verified by the simulated and real synthetic aperture radar (SAR) data.The results illustrate this method has a good robustness to image registration error

channel response error and the pixel correlation of the SAR image.

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