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@article{Luo:2012:10.1109/TGRS.2012.2226466,
author = {Luo, K and Manikas, A},
doi = {10.1109/TGRS.2012.2226466},
journal = {IEEE Trans. on Geoscience and Remote Sensing},
title = {Superresolution Multi-Target Parameter Estimation in MIMO Radar},
url = {http://dx.doi.org/10.1109/TGRS.2012.2226466},
year = {2012}
}

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TY  - JOUR
AB  - This paper is concerned with a MIMO radar operating in an environment with two or moreclosely located targets. In this scenario, mutual target interference is a serious problem for multitarget parameter estimation, reducing the performance of existing methods such as Least Square (LS), Capon and Amplitude-and-Phase-EStimation (APES). In contrast to previous methods where the overalleffects of mutual target interference is treated as "noise", in this paper, two methods for suppressing this interference are proposed. The first is based on a constrained optimisation problem that provides an iterative method. The second involves a novel non-linear optimisation based on a cost function of targets’ directions which is solved using the Biogeography-Based Optimisation (BBO) algorithm. The performance of both the proposed approaches are evaluated via computer simulation studies and shown to outperform existing methods.
AU  - Luo,K
AU  - Manikas,A
DO  - 10.1109/TGRS.2012.2226466
PY  - 2012///
SN  - 0196-2892
TI  - Superresolution Multi-Target Parameter Estimation in MIMO Radar
T2  - IEEE Trans. on Geoscience and Remote Sensing
UR  - http://dx.doi.org/10.1109/TGRS.2012.2226466
UR  - http://skynet.ee.ic.ac.uk/IEEE%20TGRS%20PEMIMORadar.pdf
ER  -

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