Publication Type:

Conference Paper

Source:

Procedia Computer Science, Elsevier B.V., Volume 115, p.764-770 (2017)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032447011&doi=10.1016%2fj.procs.2017.09.171&partnerID=40&md5=89608bf9502fef10eb2b52398a86e809

Keywords:

Electroplating shops, Fuzzifications, Fuzzy logic, Fuzzy logic based approach, Mean square error, Mean squared error, Membership functions, MIMO radar, Multiple-target detections, Probability of detection, Probability of false alarm, Radar, Radar systems, Restricted Isometric Property (RIP), Signal to noise ratio, Sparsity, Tracking radar

Abstract:

<p>This paper deals with the problem of multiple target detection in MIMO Radar systems. We propose a novel fuzzy-based approach for detecting multiple targets when conventional Compressive Sensing algorithms fall short. Ease of interpretability, modeling, limited training data requirement and implementation are some of the benefits of the Fuzzy-Logic based approach. The variation of the probability of detection, the probability of false alarm and the Mean Squared Error with the Signal-to-Noise ratio are studied. Also, the time complexity of the proposed Fuzzy-based approach is measured. © 2017 The Author(s).</p>

Notes:

cited By 0; Conference of 7th International Conference on Advances in Computing and Communications, ICACC 2017 ; Conference Date: 22 August 2017 Through 24 August 2017; Conference Code:131212

Cite this Research Publication

G. J. Vignesh, Vikranth, S., and Ramanathan, R., “A novel fuzzy based approach for multiple target detection in MIMO radar”, in Procedia Computer Science, 2017, vol. 115, pp. 764-770.

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