提高空间谱算法分辨率的DOA估计

doi:10.3969/j.issn.0255-8297.2013.04.008

Abstract

Abstract: Resolution of the multiple signal classification (MUSIC) algorithm decreases under severe environments such as low SNR, small number of snapshots, and incidence from close angles. To deal with the problem, a modified high-resolution direction-of-arrival (DOA) estimation method is proposed. The algorithm
makes full use of information contained in the subspace. By weighting noise subspace with the corresponding revised eigenvalues, a new spatial spectrum is obtained, which is multiplied by the signal subspace projection. By searching the maximum of the spectrum function, the DOAs are obtained. Simulations and experiments confirm that the proposed method can keep high resolution of noise subspace, and improve robustness of the algorithm.

Key words: direction-of-arrival (DOA), spatial spectrum estimation, multiple signal classification, resolution

CLC Number:

TN 911

SI Wei-jian1, LAN Xiao-yu1, LIU Xue2. Direction-of-Arrival Estimation for Improving Resolution Performance of Spatial Spectrum Algorithm[J]. Journal of Applied Sciences, 2013, 31(4): 381-386.

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URL: https://www.jas.shu.edu.cn/EN/10.3969/j.issn.0255-8297.2013.04.008

https://www.jas.shu.edu.cn/EN/Y2013/V31/I4/381

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Direction-of-Arrival Estimation for Improving Resolution Performance of Spatial Spectrum Algorithm

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