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

DOI

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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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  - 10.2991/icaiees-13.2013.9
ID  - Zhao2013/12
ER  -