A Linear Array Extension Based on Sub-arrays Covariance Matrix

doi:10.12382/bgxb.2021.0282

Abstract

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

CLC Number:

TN911.23

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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