A Compensation Algorithm Based on a RSPWVD-Hough Transform for Doppler Expansion in Passive Radar

Q2 Physics and Astronomy
Guan Xin, Zhong Li-hua, Huang Donghui, D. Chibiao
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引用次数: 1

Abstract

For passive radar, a long integration time is used to achieve high processing gain in order to detect a weak target. As a result, range migration and Doppler expansion may occur for high-speed targets. A keystone transform can be used to rectify range migration introduced by radial velocity. Tangential velocity, however, may lead to Doppler expansion, which entails a loss of integration gain. In this paper, a signal model is presented to analyze the reason for Doppler expansion. A Doppler expansion compensation method is then introduced based on a RSPWVD-Hough transform for a multiple-target scenario. Simulation results show that the proposed method can compensate, with good performance, for the energy loss caused by Doppler expansion in a multiple-target scene. Additionally, results show that the proposed method is also effective for weak targets, and may therefore improve
基于RSPWVD-Hough变换的无源雷达多普勒扩展补偿算法
对于无源雷达来说,为了探测弱目标,需要较长的积分时间来获得较高的处理增益。因此,高速目标可能出现距离偏移和多普勒膨胀。通过梯形变换可以对径向速度引起的距离偏移进行校正。然而,切向速度可能导致多普勒膨胀,这导致积分增益的损失。本文提出了一个信号模型来分析多普勒膨胀的原因。针对多目标场景,提出了一种基于RSPWVD-Hough变换的多普勒扩展补偿方法。仿真结果表明,该方法能较好地补偿多目标场景中多普勒扩频造成的能量损失。此外,结果表明,该方法对弱目标也是有效的,因此可以改进
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来源期刊
雷达学报
雷达学报 Physics and Astronomy-Instrumentation
CiteScore
4.10
自引率
0.00%
发文量
882
期刊介绍: Information not localized
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