基于稀疏恢复的双基地机载雷达杂波抑制方法

doi:10.12305/j.issn.1001-506X.2024.02.16

摘要/Abstract

摘要：

基于杂波谱稀疏恢复(sparse recovery, SR)的空时自适应处理(space-time adaptive processing, STAP)技术对训练样本个数要求低, 适用于杂波非均匀环境。然而在双基地配置下, 杂波脊不落在均匀网格点上, 这将造成网格失配, 严重影响SR-STAP方法性能。针对双基地机载雷达杂波的网格失配问题, 提出了一种利用杂波脊先验信息划分非均匀网格的SR-STAP方法, 所提方法首先由导航系统或参数估计方法获得待检测单元的杂波空时轨迹, 然后根据杂波空时轨迹和均匀划分的空间频率确定初始归一化多普勒频率集合, 接着根据可调参数更新归一化多普勒频率集合, 最后构造对应的非均匀字典。所提方法可适用于任意双基地配置情况。仿真结果表明, 应用非均匀字典的SR-STAP方法的杂波抑制性能较传统均匀字典有较大提升, 并能在非理想条件下表现稳健。

关键词: 双基地机载雷达, 杂波抑制, 稀疏恢复, 网格失配

Abstract:

Sparse recovery (SR) space-time adaptive processing (STAP) requires few training samples, and it performs well in the inhomogeneous clutter environments. However, the clutter ridges in the bistatic configuration do not fall on the uniform grid points, which causes off-grid problem and seriously affect the performance of the SR-STAP method. To overcome off-grid effect of bistatic airborne radar, this paper proposes a SR-STAP method that uses the prior information of clutter ridges to divide non-uniform grids. The proposed method firstly obtains the clutter space-time trajectory of the cell to be tested by the navigation system or parameter estimation method, and then determines the initial normalized Doppler frequency set from the space-time trajectory and the uniformly divided spatial frequency. Then, the proposed method updates the normalized Doppler frequency set according to the adjustable parameters. Finally, the proposed method constructs the corresponding non-uniform dictionary. The proposed method can be applied to any bistatic configuration. The simulation results show that the SR-STAP method with non-uniform dictionary has better clutter suppression performance than the traditional uniform dictionary, and it can perform robustly under non-ideal conditions.

Key words: bistatic airborne radar, clutter suppression, sparse recovery, off-grid

中图分类号:

TN957

王安安, 谢文冲, 王永良. 基于稀疏恢复的双基地机载雷达杂波抑制方法[J]. 系统工程与电子技术, 2024, 46(2): 517-525.

An'an WANG, Wenchong XIE, Yongliang WANG. Bistatic airborne radar clutter suppression method based on sparse recovery[J]. Systems Engineering and Electronics, 2024, 46(2): 517-525.

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物理量	数值
阵元数N/个	8
脉冲数K/个	8
脉冲重复频率f_r/Hz	700
波长λ/m	0.4
阵元间距d/m	0.2
发射峰值功率/kW	200
脉冲宽度τ/μs	15
接收机带宽B/MHz	5

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