一种稀疏阵列下的二维DOA估计方法

doi:10.7527/S1000-6893.2015.0346

Abstract

Abstract:

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

CLC Number:

V19
TN911.72

ZENG Wenhao, ZHU Xiaohua, LI Hongtao, MA Yigeng, CHEN Cheng. A 2D DOA estimation method for sparse array[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(7): 2269-2275.

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A 2D DOA estimation method for sparse array

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