Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

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

Authors
Xiaofei Zhang, Jianfeng Li, Ming Zhou, De Ben
Corresponding Author
Xiaofei Zhang
Available Online March 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.588How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.588
DO  - https://doi.org/10.2991/iccsee.2013.588
ID  - Zhang2013/03
ER  -