基于无网格稀疏贝叶斯学习的机载双基地雷达杂波抑制方法

doi:10.12305/j.issn.1001-506X.2025.12.07

摘要/Abstract

摘要：

受制于网格失配问题与求解中对l₀范数凸松弛的需求，现有各类稀疏恢复(sparse recovery, SR)空时自适应处理(space-time adaptive processing, STAP)方法杂波抑制性能均存在一定损失。针对上述问题，面向机载双基地雷达场景提出一种基于扩展贝叶斯学习的无网格SR-STAP方法，将杂波空时谱重构问题转化为基于无网格稀疏贝叶斯推断的优化模型，并基于最大化-最小化算法与交替方向乘子法设计了一种双层循环迭代策略进行求解。仿真结果表明，所提方法对机载双基地雷达杂波的抑制性能优于现有方法，可为有限训练样本下的机载双基地雷达杂波抑制提供更优方案。

关键词: 机载双基地雷达, 稀疏恢复, 空时自适应处理, 网格失配, 贝叶斯学习

Abstract:

Constrained by the grid mismatch problem and the requirement for convex relaxation of the l₀ norm in the solution process, all existing sparse recovery (SR) space-time adaptive processing (STAP) methods suffer from degradation in clutter suppression performance. To address the aforementioned issues, a gridless SR-STAP method based on extended Bayesian learning is proposed for the airborne bistatic radar scenario. The clutter space-time spectrum reconstruction problem is transformed into an optimization model based on gridless sparse Bayesian inference. Furthermore, a two-layer cyclic iterative strategy is designed for solution by integrating the maximization-minimization algorithm and the alternating direction method of multipliers. Simulation results demonstrate that the proposed method exhibits superior clutter suppression performance for airborne bistatic radar compared with existing methods, providing a more optimal scheme for airborne bistatic radar clutter suppression with limited training samples.

Key words: airborne bistatic radar, sparse recovery (SR), space-time adaptive processing （STAP）, off-grid, Bayesian learning

中图分类号:

TN 95

陈俊先, 施龙飞, 刘甲磊, 马佳智. 基于无网格稀疏贝叶斯学习的机载双基地雷达杂波抑制方法[J]. 系统工程与电子技术, 2025, 47(12): 4057-4067.

Junxian CHEN, Longfei SHI, Jialei LIU, Jiazhi MA. Clutter suppression method for airborne bistatic radar based on gridless sparse Bayesian learning[J]. Systems Engineering and Electronics, 2025, 47(12): 4057-4067.

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名称	数值
基线长度/km	100
发射平台飞行高度/km	3
发射平台飞行速度/(m/s)	70
接收平台飞行高度/km	3
接收平台飞行速度/(m/s)	70
发射峰值功率/kW	200
工作频率/GHz	1
脉冲重复频率/Hz	700
相参脉冲数/个	8
阵元方向图	余弦方向图
阵元方向图后向衰减系数/dB	−3
阵元增益/dB	4
阵元数/个	8
发射增益/dB	30
接收增益/dB	30
CUT双基距离和/km	80

几何配置方式	$ {\delta _T} $	$ {\delta _R} $
航向一致	0	0
航向垂直	90	0
航向并行	90	90
航向交叉	30	60

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