Dimension-reduced Robust Beamforming Method for MIMO Radar

DOI

10.2991/eeic-13.2013.100How to use a DOI?

Keywords

MIMO radar, robust beamforming, dimension- reduced, equivalent multi-SIMO radars, particle swarm optimization, desired signal steering vector mismatches

Abstract

A new robust beamforming algorithm for multiple-input and multiple-output (MIMO) radar is proposed in the presence of unknown mismatches phenomenon of the desired signal steering vector. Considering that the transmitted waveforms of MIMO radar are orthogonal to each other, after matched filtering MIMO radar can be thought equivalent to multiple single input and multiple output (multi-SIMO) radars. So we decomposed the full-dimensional beamforming of MIMO radar into multiple dimension-reduced beamforming for equivalent multi-SIMO radars. This kind of equivalent has benefits of reducing the number of whole sampling data and the dimensions of sampling data that each equivalent SIMO radar needs to process. Otherwise, we used particle swarm optimization (PSO) algorithm to modify the mismatch of each desired signal steering vector, and the robustness has been greatly improved because the use of PSO. Numerical experiments with the desired signal steering vector mismatches are provided to demonstrate the effectiveness of the proposed dimension-reduced robust adaptive beamforming 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  - Jingjun Li
AU  - Yonghua Jiang
AU  - Bo Dan
AU  - Weiwei Gao
PY  - 2013/12
DA  - 2013/12
TI  - Dimension-reduced Robust Beamforming Method for MIMO Radar
BT  - Proceedings of the 3rd International Conference on Electric and Electronics
PB  - Atlantis Press
SP  - 426
EP  - 429
SN  - 1951-6851
UR  - https://doi.org/10.2991/eeic-13.2013.100
DO  - 10.2991/eeic-13.2013.100
ID  - Li2013/12
ER  -