基于稀疏表示和近似l0范数约束的宽带信号DOA估计
收稿日期: 2016-08-26
修回日期: 2016-12-12
网络出版日期: 2016-12-19
基金资助
国家重点研发计划（2016YFB1001304）；国家自然科学基金（61171137）
Broadband signal DOA estimation based on sparse representation and l0-norm approximation
Received date: 2016-08-26
Revised date: 2016-12-12
Online published: 2016-12-19
Supported by
National Key Research and Development Program of China (2016YFB1001304);National Natural Science Foundation of China (61171137)
燕学智 , 温艳鑫 , 刘国红 , 陈建 . 基于稀疏表示和近似l0范数约束的宽带信号DOA估计[J]. 航空学报, 2017 , 38(6) : 320705 -320705 . DOI: 10.7527/S1000-6893.2016.320705
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
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