基于互质阵虚拟阵列空间平滑的相干信号DOA估计方法

doi:10.12305/j.issn.1001-506X.2022.04.01

Abstract

Abstract:

In order to solve the problem of serious array aperture loss and poor performance in low signal noise ratio(SNR) environment of direction of arrival(DOA) estimation algorithm based on spatial smoothing method for coherent signals, a new method for coprime array coherent signals without prior information of source number is proposed. Firstly, the covariance matrix obtained from the coprime array is vectored, and the antenna element is reconstructed into the Toeplitz matrix in the virtual array element to extend array aperture.Then, the reconstructed array is smoothed forward and backward to eliminate the signal coherence and improve the estimation performance. Finally, with reference to the covariance matrix of uniform symmetric array, the cost function is transformed into a convex optimization problem, DOA estimation is performed by spectral peak search.The theoretical analysis and simulation results show that the proposed method does not need the number of incident signal sources, and has low computational complexity. In addition, the number of DOA estimation, estimation resolution and estimation accuracy of coherent signal are improved obviously under the SNR environment.

Key words: coprime array, direction of arrival (DOA) estimation, coherent signal, spatial smoothing

CLC Number:

TN911.7

Juan WEI, Shian YAN, Fangli NING. DOA estimation method for coherent signals based on coprime array virtual array spatial smoothing[J]. Systems Engineering and Electronics, 2022, 44(4): 1069-1077.

Figures/Tables 10

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DOA estimation method for coherent signals based on coprime array virtual array spatial smoothing

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