基于稀疏信号功率迭代补偿的矢量传感器阵列DOA估计

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Abstract Aim to low resolution probability and estimation accuracy for close space targets of the existing sparse signal power iteration algorithms, a sparse signal power iteration compensation method is proposed to estimate direction of arrival (DOA) via vector sensor arrays. Firstly, based on the principle of sparse signal compensation and the fitting criterion weighted covariance matrix, the objective function including sparse signal power and compensation weight is constructed. Secondly, the closed-form solution of sparse signal power iteration renewal expression is derived. Finally, DOA estimation is obtained by searching the spectral peaks of sparse signal power. The theoretical analysis shows that the proposed algorithm improves the resolution probability and estimation accuracy for close space targets by compensating the signal power at discrete grid points. Simulation results show that, compared with the classical subspace algorithm and the existing sparse power iteration algorithm, the proposed algorithm improves the resolution probability and estimation accuracy for close space targets.

Key words： Vector sensor array Weighted covariance matrix Sparse signal power compensation DOA estimation

Received: 08 April 2019 Published: 28 July 2020

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	Articles by authors
	WANG Weidong1
	ZHANG Qunfei1
	SHI Wentao1
	TAN Weijie1
	WANG Xuhu2

Cite this article:

WANG Weidong1,ZHANG Qunfei1,SHI Wentao1, et al. DOA estimation of vector sensor arrays based on sparse signal power iterative compensation[J]. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(15): 48-57.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2020/V39/I15/48

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