基于稀疏表示和近似l0范数约束的宽带信号DOA估计

doi:10.7527/S1000-6893.2016.320705

Abstract

Abstract:

Based on l₀-norm approximation, an efficient algorithm is proposed to deal with the localization of the broadband signal under the sparse framework. First, by preprocessing broadband signal, the received data under the same frequency is obtained. Then a sum-average operation to array covariance matrix elements of the received data is made in order to get a low dimensional observation vector and the sparse representation of the new model under sparse framework is built. Finally, exploiting truncated l₁ function as the weight coefficients to construct l₀-norm penalty sparse reconstruction method and then reconstruct the broadband signal to obtain DOA estimation. The simulation results demonstrate that comparing to the traditional broadband signal DOA estimate algorithms, the proposed algorithm is able to provide higher resolution and estimation accuracy.

Key words: signal processing, broadband signal, sparse reconstruction, DOA estimation, l₀-norm

CLC Number:

V247
TN911.7

YAN Xuezhi, WEN Yanxin, LIU Guohong, CHEN Jian. Broadband signal DOA estimation based on sparse representation and l₀-norm approximation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(6): 320705-320705.

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Broadband signal DOA estimation based on sparse representation and l₀-norm approximation

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Broadband signal DOA estimation based on sparse representation and l0-norm approximation

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Broadband signal DOA estimation based on sparse representation and l₀-norm approximation