DOA estimation in monostatic MIMO array based on sparse signal reconstruction

Wentao Shi; Jianguo Huang; Qunfei Zhang; Jimeng Zheng

doi:10.1109/ICSPCC.2016.7753688

DOA estimation in monostatic MIMO array based on sparse signal reconstruction

Wentao Shi, Jianguo Huang, Qunfei Zhang, Jimeng Zheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

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 l₁-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.

Original language	English
Title of host publication	ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509027088
DOIs	https://doi.org/10.1109/ICSPCC.2016.7753688
State	Published - 22 Nov 2016
Event	2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China Duration: 5 Aug 2016 → 8 Aug 2016

Publication series

Name	ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference	2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/Territory	China
City	Hong Kong
Period	5/08/16 → 8/08/16

Keywords

direction arrival (DOA) estimation
monostatic multiple-input multiple output (MIMO) array
overcomplete representation
singular value decomposition
sparse signal reconstruction

Access to Document

10.1109/ICSPCC.2016.7753688

Cite this

Shi, W., Huang, J., Zhang, Q., & Zheng, J. (2016). DOA estimation in monostatic MIMO array based on sparse signal reconstruction. In ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings Article 7753688 (ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC.2016.7753688

Shi, Wentao ; Huang, Jianguo ; Zhang, Qunfei et al. / DOA estimation in monostatic MIMO array based on sparse signal reconstruction. ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings).

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title = "DOA estimation in monostatic MIMO array based on sparse signal reconstruction",

abstract = "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 l1-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.",

keywords = "direction arrival (DOA) estimation, monostatic multiple-input multiple output (MIMO) array, overcomplete representation, singular value decomposition, sparse signal reconstruction",

author = "Wentao Shi and Jianguo Huang and Qunfei Zhang and Jimeng Zheng",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",

year = "2016",

month = nov,

day = "22",

doi = "10.1109/ICSPCC.2016.7753688",

language = "英语",

series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",

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Shi, W, Huang, J, Zhang, Q & Zheng, J 2016, DOA estimation in monostatic MIMO array based on sparse signal reconstruction. in ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings., 7753688, ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016, Hong Kong, China, 5/08/16. https://doi.org/10.1109/ICSPCC.2016.7753688

DOA estimation in monostatic MIMO array based on sparse signal reconstruction. / Shi, Wentao; Huang, Jianguo; Zhang, Qunfei et al.
ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7753688 (ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - DOA estimation in monostatic MIMO array based on sparse signal reconstruction

AU - Shi, Wentao

AU - Huang, Jianguo

AU - Zhang, Qunfei

AU - Zheng, Jimeng

PY - 2016/11/22

Y1 - 2016/11/22

N2 - 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 l1-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.

AB - 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 l1-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.

KW - direction arrival (DOA) estimation

KW - monostatic multiple-input multiple output (MIMO) array

KW - overcomplete representation

KW - singular value decomposition

KW - sparse signal reconstruction

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M3 - 会议稿件

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T3 - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

BT - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016

Y2 - 5 August 2016 through 8 August 2016

ER -

Shi W, Huang J, Zhang Q, Zheng J. DOA estimation in monostatic MIMO array based on sparse signal reconstruction. In ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7753688. (ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings). doi: 10.1109/ICSPCC.2016.7753688

DOA estimation in monostatic MIMO array based on sparse signal reconstruction

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