Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)

Low Complexity DOA Estimation Method for MIMO Radar based on MUSIC and Compressive Sensing

Authors
Huijun Zhao, Gong Zhang
Corresponding Author
Huijun Zhao
Available Online December 2013.
DOI
https://doi.org/10.2991/icaiees-13.2013.9How to use a DOI?
Keywords
DOA estimation, MUSIC, Compressive sensing.
Abstract

This paper addresses the problem of two-dimensional (2D) DOA estimation in multiple-input multiple-output (MIMO) radar system. A dimensional reduction multiple signal classification algorithm is proposed to reduce the computational complexity. By introducing the compressive sensing (CS) theory, the high-dimensional matched filtering data are projected into a low-dimensional matrix, and the sparse inverse problem is solved by the MUSIC method. Simulation results show that the performance of the proposed scheme is very close to that of the traditional two-dimensional (2D) MUSIC algorithm. Since the proposed algorithm has less complexity, the proposed algorithm is more efficient than the traditional one.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)
Series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90-78677-94-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaiees-13.2013.9How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huijun Zhao
AU  - Gong Zhang
PY  - 2013/12
DA  - 2013/12
TI  - Low Complexity DOA Estimation Method for MIMO Radar based on MUSIC and Compressive Sensing
BT  - Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)
PB  - Atlantis Press
SP  - 29
EP  - 32
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaiees-13.2013.9
DO  - https://doi.org/10.2991/icaiees-13.2013.9
ID  - Zhao2013/12
ER  -