A Weak-Target Detection Method for Airborne Passive Radar

doi:10.7652/xjtuxb201702012

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A Weak-Target Detection Method for Airborne Passive Radar

更新时间：2025-07-09

- A Weak-Target Detection Method for Airborne Passive Radar
- Vol. 51, Issue 2, Pages: 72-78(2017)
- 作者机构：
  
  西安电子科技大学雷达信号处理国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201702012
  CLC： TN957
- Online First：10 February 2017，
  
  Published：2017
- 稿件说明：
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A Weak-Target Detection Method for Airborne Passive Radar[J]. 2017, 51(2): 72-78.
DOI：

A Weak-Target Detection Method for Airborne Passive Radar[J]. 2017, 51(2): 72-78. DOI： 10.7652/xjtuxb201702012.

摘要

针对机载外辐射源雷达系统中直达波信号参数估计误差导致的杂波抑制性能下降、微弱目标检测性能恶化的问题

提出了一种机载外辐射源雷达体制下微弱目标检测方法。该方法在建立杂波和微弱运动目标信号模型的基础上

对重叠分段后的两通道信号进行匹配滤波

然后分别对两通道信号进行Keystone变换完成相对径向速度的距离徙动校正

最后构造通道间相位偏差补偿函数

并结合两通道相位中心偏置天线(DPCA)方法解决杂波剩余问题。仿真结果表明:考虑直达波参数估计误差的影响能够提高微弱目标检测能力; 在载机偏航角为2°的情况下

该方法与忽略相位偏差的传统DPCA方法和理论值补偿相位偏差的DPCA方法相比

检测信噪比分别提高了12 dB和7 dB以上。

Abstract

A weak-target detection method for airborne passive radar is proposed to solve the problems of clutter suppression ability loss and detection ability loss caused by parameter estimation errors of direct signals. The method builds models of clutter and weak moving target signals

and applies the match filtering to each segment after each channel signal is divided by the overlapping segment method. Then the Keystone transform is applied to both channels to correct the range cell migration due to relative radial velocity. Finally the problem of clutter residual is solved by combining a phase deviation compensation function with DPCA technology. Simulation results show that the ability of target detection is improved by considering the parameter estimation error of direct signal. When the yaw angle is 2°

comparisons with the methods using DPCA technology without considering the channel phase deviation and with compensation using theoretical value show that the detection SNR of the proposed method increases by more than 12 dB and 7 dB

respectively.

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references

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