DOA estimation in monostatic MIMO array based on sparse signal reconstruction

In this paper, a novel method for direction arrival (DOA) estimation in monostatic multiple-input multiple output (MIMO) array is presented. By using the sparse signal reconstruction of monostatic MIMO array measurements with an overcomplete basis, the singular value decomposition (SVD) of the recei...

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Bibliographic Details
Published in2016 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) pp. 1 - 4
Main Authors Wentao Shi, Jianguo Huang, Qunfei Zhang, Jimeng Zheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2016
Subjects
direction arrival (DOA) estimation
Direction-of-arrival estimation
Estimation
Matrix decomposition
MIMO
monostatic multiple-input multiple output (MIMO) array
Multiple signal classification
overcomplete representation
Sensor arrays
singular value decomposition
sparse signal reconstruction
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Summary:In this paper, a novel method for direction arrival (DOA) estimation in monostatic multiple-input multiple output (MIMO) array is presented. By using the sparse signal reconstruction of monostatic MIMO array measurements with an overcomplete basis, the singular value decomposition (SVD) of the received data matrix can be penalties based on the l 1 -norm. The optimization problem can be solved exploiting the second-order cone programming framework. The proposed method for monostatic MIMO array could achieve more accurate DOA estimation than the traditional DOA estimation methods. The simulation examples are presented to demonstrate the effective of the proposed method in monostatic MIMO array.
DOI:10.1109/ICSPCC.2016.7753688