基于虚拟阵列扩展的改进加权空间平滑算法

doi:10.12305/j.issn.1001-506X.2023.01.29

Abstract

Abstract:

Aiming at the direction of arrival (DOA) estimation problem of coherent sources, the traditional spatial smoothing algorithm reduces the aperture of the array to resolve the coherence, resulting in lower estimation accuracy. This paper takes the coherent distribution source as the research object. First, the conjugate virtual array is expanded to increase the array aperture, and the Toeplitz algorithm is used for pre-estimation, a weighting matrix is constructed according to the pre-estimated value, and the rank of the covariance matrix is restored through the secondary weighted space smoothing, so the coherence of the signal is eliminated, the incident angle of the target source is estimated combined with the propagation factor algorithm. This algorithm makes full use of the auto-correlation and cross-correlation information by the sub-array, improving the accuracy impact brought by the array aperture. Simulation results show that the proposed algorithm has good resolution and estimation accuracy for coherent sources. It has better robustness at low signal to noise ratio.

Key words: coherent distribution source, virtual array expansion, weighted spatial smoothing, propagator factor, Toeplitz

CLC Number:

TN911

Zhiguo SUN, Qiaosen BAI, Yongzhen BAI, Rongchen SUN. Improved weighted spatial smoothing algorithm based on virtual array expansion[J]. Systems Engineering and Electronics, 2023, 45(1): 250-256.

Figures/Tables 8

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References 30

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算法	计算复杂度
FBSS-PM	O(2LTm₁²)
IWSS-PM	O(2L₁Tm₁²+2m₁TL₁²)
MWSS-PM	O(4L₁Tm₁²+4 m₁TL₁²)
VWSS-PM	O(NT+2L₂Tm₂²+4m₂TL₂²)

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Improved weighted spatial smoothing algorithm based on virtual array expansion

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