Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter
Bolisetti, Siva Karteek and Patwary, Mohammad and Ahmed, Khazwa and Soliman, Abdel-Hamid and Abdel-Maguid, Mohamed (2015) Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter. The Scientific World Journal. pp. 1-8. ISSN 2356-6140
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Abstract
The problem of optimising the target detection performance of MIMO radar in the presence of clutter is considered. The increased false alarm rate which is a consequence of the presence of clutter returns is known to seriously degrade the target detection performance of the radar target detector, especially under low SNR conditions. In this paper, a mathematical model is proposed to optimise the target detection performance of a MIMO radar detector in the presence of clutter. The number of samples that are required to be processed by a radar target detector regulates the amount of processing burden while achieving a given detection reliability. While Subspace Compressive GLRT (SSC-GLRT) detector is known to give optimised radar target detection performance with reduced computational complexity, it however suffers a significant deterioration in target detection performance in the
presence of clutter. In this paper we provide evidence that the proposed mathematical model for SSC-GLRT detector outperforms the existing detectors in the presence of clutter. The performance analysis of the existing detectors and the proposed SSC-GLRT detector for MIMO radar in the presence of clutter are provided in this paper.
| Item Type: | Article | ||||
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| Identification Number: | https://doi.org/10.1155/2015/341619 | ||||
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| Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science | ||||
| Divisions: | Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology |
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| Depositing User: | Ian Mcdonald | ||||
| Date Deposited: | 07 Mar 2017 11:14 | ||||
| Last Modified: | 22 Mar 2023 12:01 | ||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/3988 |
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