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Volume 5 Issue 4
Jul.  2018

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Sen Li, Rongxi He, Bin Lin and Fei Su, "DOA Estimation Based on Sparse Representation of the Fractional Lower Order Statistics in Impulsive Noise," IEEE/CAA J. Autom. Sinica, vol. 5, no. 4, pp. 860-868, July 2018. doi: 10.1109/JAS.2016.7510187
Citation: Sen Li, Rongxi He, Bin Lin and Fei Su, "DOA Estimation Based on Sparse Representation of the Fractional Lower Order Statistics in Impulsive Noise," IEEE/CAA J. Autom. Sinica, vol. 5, no. 4, pp. 860-868, July 2018. doi: 10.1109/JAS.2016.7510187

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

doi: 10.1109/JAS.2016.7510187
Funds:

the National Natural Science Foundation of China 61301228

the National Natural Science Foundation of China 61371091

the Fundamental Research Funds for the Central Universities 3132014212

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  • 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 fistable 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.

     

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