Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/77045/1/ShafqatUllahKhan2017_CorrectionofFailureinLinearAntennaArrays.pdf http://eprints.utm.my/id/eprint/77045/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038934827&doi=10.1371%2fjournal.pone.0189240&partnerID=40&md5=47f74c43efd7a13df652582557e79ed5 |
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| Summary: | This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pursuit (OMP) technique. Numerical simulation examples of linear arrays are offered to demonstrate the effectiveness of getting the wanted power pattern with a reduced number of antenna sensors which is compared with the available techniques in terms of sidelobes level and number of nulls. |
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