DOA Estimation Based on Sparse Representation of the Fractional Lower Order Statistics in Impulsive Noise

查看全文 作　　者：Sen [1]Li;Rongxi [1,2]He;Bin [1,2]Lin;Fei [1]Sun

机构地区：[1]Department of Information Science and Technology,Dalian Maritime University,Dalian 116026,China;[2]IEEE

出　　处：《IEEE/CAA Journal of Automatica Sinica》索引2018年第5卷第4期,共9页

基　　金：supported in part by the National Natural Science Foundation of China(61301228,61371091);the Fundamental Research Funds for the Central Universities(3132014212) 摘　　要：This paper is mainly to deal with the problem of direction of arrival(DOA) estimations of multiple narrow-band sources impinging on a uniform linear array under impulsive noise environments. By modeling the impulsive noise as α-stable distribution, new methods which combine the sparse signal representation technique and fractional lower order statistics theory are proposed. In the new algorithms, the fractional lower order statistics vectors of the array output signal are sparsely represented on an overcomplete basis and the DOAs can be effectively estimated by searching the sparsest coefficients. To enhance the robustness performance of the proposed algorithms,the improved algorithms are advanced by eliminating the fractional lower order statistics of the noise from the fractional lower order statistics vector of the array output through a linear transformation. Simulation results have shown the effectiveness of the proposed methods for a wide range of highly impulsive environments. 关键词：α-stable distribution direction of arrival(DOA) fractional lower-order statistics impulsive noise sparse representation

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DOA Estimation Based on Sparse Representation of the Fractional Lower Order Statistics in Impulsive Noise

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