基于压缩感知的频率和DOA联合估计算法
收稿日期: 2013-06-07
修回日期: 2013-09-16
网络出版日期: 2013-09-23
基金资助
中央高校基本科研业务费专项资金（K5051202026）；国家“973”计划
United Frequency and DOA Estimation Algorithm Based on Compressed Sensing
Received date: 2013-06-07
Revised date: 2013-09-16
Online published: 2013-09-23
Supported by
The Fundamental Research Funds for the Central Universities (K5051202026); National Basic Research Program of China
沈志博 , 赵国庆 , 董春曦 , 黄龙 . 基于压缩感知的频率和DOA联合估计算法[J]. 航空学报, 2014 , 35(5) : 1357 -1364 . DOI: 10.7527/S1000-6893.2013.0395
The direction-of-arrival (DOA) estimation is an important issue in array signal processing. For this purpose, a new united frequency and DOA estimation algorithm based on compressed sensing is proposed in this paper. First, an overcomplete sparse dictionary is established using the sparseness of the direction-of-wave number space and then with the compressive sampling array architecture, a high resolution direction-of-wave number estimation is achieved. Finally, the spatial filtering method is used to make a match of the direction-of-wave number with its frequency. Compared with the traditional methods, the proposed method reduces computational complexity by compressive sampling and realizes high resolution DOA estimation of multiple signals. The simulation results verify the effectiveness and feasibility of the method.
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