一种稀疏阵列下的二维DOA估计方法
收稿日期: 2015-08-10
修回日期: 2015-12-18
网络出版日期: 2015-12-28
基金资助
国家自然科学基金（61401204)
A 2D DOA estimation method for sparse array
Received date: 2015-08-10
Revised date: 2015-12-18
Online published: 2015-12-28
Supported by
National Natural Science Foundation of China (61401204)
曾文浩 , 朱晓华 , 李洪涛 , 马义耕 , 陈诚 . 一种稀疏阵列下的二维DOA估计方法[J]. 航空学报, 2016 , 37(7) : 2269 -2275 . DOI: 10.7527/S1000-6893.2015.0346
A fixed point continuation multiple signal classification (FPC-MUSIC) algorithm is proposed in this paper for the 2D direction-of-arrival (DOA) estimation for sparse array. The sparse array is built to meet the requests of matrix completion, and then the direction-of-arrival model based on matrix completion is set up which satisfies the null space property (NSP). This algorithm could recover the sparse signals to the complete signals by taking use of fixed point continuation algorithm, and then estimate 2D DOAs. Using this algorithm, the average sidelobe level of the sparse array decreases significantly, the estimation accuracy increases while reducing the number of array element in large scale, and the angle ambiguity problem is avoided. Computer simulation shows that FPC-MUSIC algorithm can estimate the 2D DOA precisely, and the effectiveness and superiority of the algorithm are verified.
Key words： signal processing; sparse array; planar array; DOA estimation; matrix completion
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