A joint sparse signal representation perspective for target detection using bistatic MIMO radar system

Title: A joint sparse signal representation perspective for target detection using bistatic MIMO radar system
Creator: Hyder, Md Mashud; Mahata, Kaushik
Relation: 17th International Conference on Digital Signal Processing. Proceedings of the 2011 17th International Conference on Digital Signal Processing (Corfu, GR 6-8 July, 2011) p. 1-5
Publisher Link: http://dx.doi.org/10.1109/ICDSP.2011.6004937
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2011
Description: The problem of detection of multiple targets using a bistatic MIMO radar system is posed as a joint sparse signal recovery problem. We explore the potential of MIMO systems to locate targets in noisy environment with limited number of time samples, while the transmitted signals are not necessarily mutually orthogonal. Explicit enforcement of a joint sparse representation is motivated by a desire to obtain a sharp estimate of the targets that exhibits robustness in noisy environment. Numerical experiments demonstrate that the proposed strategy outperforms existing algorithms.
Subject: MIMO radar; array signal processing; multiple measurement vectors; compressive sampling
Identifier: http://hdl.handle.net/1959.13/1316537
Identifier: uon:23197
Identifier: ISBN:9781457702730
Language: eng
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