Moving Target Detection and Speed Estimation for One-stationary Bistatic Synthetic Aperture Radar Based on Multi-channels

Hongtu Xie, Xiao Hu, Jiaxing Chen, Zhitao Wu, Guoqian Wang
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引用次数: 0

Abstract

One-stationary bistatic synthetic aperture radar (OS BSAR) has the advantages of the high-resolution imaging, added target information, low cost, high security, and forward-looking imaging. However, due to the stationary platform in the OS BSAR system, the existing moving target detection and speed estimation methods based on the multi-channel can’t be directly applied to the OS BSAR system. In this paper, the moving target detection and speed estimation for the OS BSAR system based on the multi-channels is proposed. According to OS BSAR geometry and the echo signal characteristics, a moving target detection method based on the multi-channels has been proposed, which can effectively suppress the clutter of the stationary targets and preserve the echo information of the moving targets. For the speed estimation of moving targets, the distance speed estimation method using the distance walking and then the azimuth speed estimation method using the moving target image azimuth offset are studied respectively, which are simple to implement and can effectively estimate the moving target speed. The simulation experiments prove the effectiveness of the proposed method.
基于多通道的单稳态双基地合成孔径雷达运动目标检测与速度估计
单稳态双基地合成孔径雷达(OS BSAR)具有高分辨率成像、增加目标信息、低成本、高安全性和前视成像等优点。然而,由于OS BSAR系统的平台是静止的,现有的基于多通道的运动目标检测和速度估计方法不能直接应用于OS BSAR系统。提出了基于多信道的OS BSAR系统运动目标检测与速度估计方法。根据OS BSAR的几何形状和回波信号的特点,提出了一种基于多通道的运动目标检测方法,该方法能够有效地抑制静止目标的杂波,同时保留运动目标的回波信息。对于运动目标的速度估计,分别研究了基于距离行走的距离速度估计方法和基于运动目标图像方位角偏移的方位角速度估计方法,这两种方法实现简单,能够有效地估计运动目标的速度。仿真实验证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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