基于杂波和噪声联合稀疏特性的直接数据域STAP方法

doi:10.12305/j.issn.1001-506X.2024.09.10

Abstract

Abstract:

To address the heterogeneous clutter environment of airborne early warning radar in space-time adaptive processing (STAP), a direct data domain (D3) STAP method via joint-sparse characteristics of clutter and noise is proposed. Firstly, training sample set is expanded using the sub-aperture smoothing technique. Then, the STAP power dictionary matrix is constructed based on the second-order characterization theory of the clutter spectrum, and the objective function is derived. Meanwhile, the space-time power spectrum of the signal in the cell under test is solved. Finally, the clutter plus noise covariance matrix without aperture loss is reconstructed according to the clutter prior information. Numerical experiments show that the estimation accuracy of the proposed method is higher than that of the traditional sparse recovery D3-STAP algorithm, and the proposed method has better performance of the low-speed target detection under ideal conditions and array errors.

Key words: space-time adaptive processing (STAP), direct data domain (D3), joint sparse characteristic, second-order characterization of clutter spectrum

CLC Number:

TN959

Yalong WANG, Jiaheng WANG, Jun LI, qin HE, Zishu HE. Direct data domain STAP method via joint-sparse characteristic of clutter and noise[J]. Systems Engineering and Electronics, 2024, 46(9): 2980-2987.

Figures/Tables 5

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Table 1

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References 33

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参数	数值
载机高度/km	6
载机速度/(m/s)	150
雷达波长/m	0.25
信号带宽/MHz	5
脉冲重复频率/Hz	2 400
波束主瓣方位角指向/(°)	0
目标径向探测距离/km	50
杂噪比/dB	40
杂波块数量	361
CUT目标归一化多普勒频率分布	-0.5∶0.05∶0.5
CUT信噪比/dB	10

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Direct data domain STAP method via joint-sparse characteristic of clutter and noise

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