基于子阵协方差矩阵的线列阵扩展

doi:10.12382/bgxb.2021.0282

摘要/Abstract

摘要： 针对现有线列阵扩展方法低信噪比时信号检测与波达方向估计性能下降、鲁棒性差、要求信源信号具有非圆对称性等问题，提出一种线列阵扩展方法。该方法将线列阵按奇、偶阵元分成两个子阵，通过两子阵的协方差矩阵消除噪声的影响，利用两子阵的协方差矩阵及线列阵旋转不变性重构阵列接收数据，实现一维线列阵扩展。仿真和实测数据处理结果表明，该方法降低了波束输出旁瓣，提高了弱目标的探测性能，不要求信源信号具有非圆对称性，具有较好的工程应用价值。

关键词: 弱目标探测, 线列阵扩展, 子阵协方差矩阵, 波达方向估计

Abstract: A novel linear array extension method is proposed to mitigate the effect of low signal-to-noise ratio on weak target detection. A linear array aperture is increased by reconstructing the array receiving data using the covariance matrix for the received signals of two sub-arrays composed of odd and even array elements and the rotational invariance of the linear array, and the additive noises is mitigated when reconstructing the receiving array data. The simulated results show that the proposed algorithm can significantly reduce the beam sidelobes, improve the detectability of weak targets and provide robustness at low signal-to-noise. It has better application prospects in the weak target detection and direction-of-arrival estimation.

Key words: weaktargetdetection, lineararrayextension, sub-arrayscovariancematrix, direction-of-arrivalestimation

中图分类号:

TN911.23

毛卫宁，钱进. 基于子阵协方差矩阵的线列阵扩展[J]. 兵工学报, 2022, 43(5): 1129-1134.

MAO Weining, QIAN Jin. A Linear Array Extension Based on Sub-arrays Covariance Matrix[J]. Acta Armamentarii, 2022, 43(5): 1129-1134.

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