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

被引：0
|
作者：
Yan X. [1 ]
Wen Y. [1 ]
Liu G. [1 ]
Chen J. [1 ]
机构：
[1] College of Communication Engineering, Jilin University, Changchun
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2017年 / 38卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Broadband signal; DOA estimation; L[!sub]0[!/sub]-norm; Signal processing; Sparse reconstruction;
D O I：
10.7527/S1000-6893.2016.320705
中图分类号：
学科分类号：
摘要：
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. © 2017, Press of Chinese Journal of Aeronautics. All right reserved.
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