Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique
In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compres...
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Institute of Advanced Engineering and Science
2017
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my.utm.771122018-04-30T14:41:41Z http://eprints.utm.my/id/eprint/77112/ Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique Khan, S. U. Rahim, M. K. A. Qureshi, I. M. Murad, N. A. TK Electrical engineering. Electronics Nuclear engineering In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements. Institute of Advanced Engineering and Science 2017 Article PeerReviewed Khan, S. U. and Rahim, M. K. A. and Qureshi, I. M. and Murad, N. A. (2017) Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique. International Journal of Electrical and Computer Engineering, 7 (2). pp. 961-966. ISSN 2088-8708 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020904842&doi=10.11591%2fijece.v7i2.pp961-966&partnerID=40&md5=325a6e08818846758a860019cf353763 DOI:10.11591/ijece.v7i2.pp961-966 |
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TK Electrical engineering. Electronics Nuclear engineering Khan, S. U. Rahim, M. K. A. Qureshi, I. M. Murad, N. A. Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
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In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements. |
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Article |
author |
Khan, S. U. Rahim, M. K. A. Qureshi, I. M. Murad, N. A. |
author_facet |
Khan, S. U. Rahim, M. K. A. Qureshi, I. M. Murad, N. A. |
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Khan, S. U. |
title |
Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
title_short |
Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
title_full |
Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
title_fullStr |
Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
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Diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
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diagnosis of faulty sensors in antenna array using hybrid differential evolution based compressed sensing technique |
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Institute of Advanced Engineering and Science |
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2017 |
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http://eprints.utm.my/id/eprint/77112/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020904842&doi=10.11591%2fijece.v7i2.pp961-966&partnerID=40&md5=325a6e08818846758a860019cf353763 |
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