Journal
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
Volume 22, Issue -, Pages 895-903Publisher
SPRINGER
DOI: 10.1007/s10586-018-1752-8
Keywords
DOA estimation; Compress sensing; Sparse signal
Funding
- Natural Science Foundation of China [61573253, 61271321]
- Tianjin Natural Science Foundation [16JCYBJC16400]
- Tianjin Enterprise Science and Technology Project of Special Correspondent [17JCT-PJC54700]
- Tianjin Science and Technology Project [16YFZCGX 00360, 16ZXZNGX00080]
- National Training Programs of Innovation and Entrepreneurship for Undergraduates [201610069007, 20171006 9023]
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Considering the computational complexity and redundancy of traditional array signal arrival angle (DOA) estimation algorithms, the compressed sensing technology was used to improve the real-time and accurate performance of the DOA estimation algorithm, in which, the space sparse signals were reconstructed from the array data by means of array manifold matrix. Compared with the classical MUSIC algorithm, the compressed sensing DOA estimation method could effectively improve the direction finding accuracy and angle resolution with low SNR and snapshot deficiency. Moreover, the proposed algorithm could achieve the coherent signal estimation correctly, and the simulation results show that its performance was superior to that of traditional algorithm.
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