Compressed Sensing Trilinear Model-based Angle Estimation for Bistatic MIMO radar

DOI

10.2991/iccsee.2013.588How to use a DOI?

Keywords

Array signal processing, angle estimation, multiple-input multiple-output (MIMO) radar, trilinear model, Compressed Sensing.

Abstract

In this paper, we address the transmit angle and receive angle estimation problem for a bistatic multiple-input multiple-output (MIMO) radar. This paper links MIMO radar angle estimation problem to the compressed sensing trilinear model. Exploiting this link, it derives a compressed sensing trilinear model-based angle estimation algorithm, which can obtain automatically paired two-dimensional angle estimation. The proposed algorithm requires no spectral peak searching or pair matching, and it has better angle estimation performance than conventional algorithms including estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm. Simulation results illustrate performance of the algorithm.

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  - Xiaofei Zhang
AU  - Jianfeng Li
AU  - Ming Zhou
AU  - De Ben
PY  - 2013/03
DA  - 2013/03
TI  - Compressed Sensing Trilinear Model-based Angle Estimation for Bistatic MIMO radar
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2348
EP  - 2352
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.588
DO  - 10.2991/iccsee.2013.588
ID  - Zhang2013/03
ER  -