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Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization
Joint Authors
Xia, Weijie
Jin, Xue
Dou, Fawang
Source
International Journal of Antennas and Propagation
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
It should be noted that the peak sidelobe level (PSLL) significantly influences the performance of the multibeam imaging sonar.
Although a great amount of work has been done to suppress the PSLL of the array, one can verify that these methods do not provide optimal results when applied to the case of multiple patterns.
In order to suppress the PSLL for multibeam imaging sonar array, a hybrid algorithm of binary particle swarm optimization (BPSO) and convex optimization is proposed in this paper.
In this algorithm, the PSLL of multiple patterns is taken as the optimization objective.
BPSO is considered as a global optimization algorithm to determine best common elements’ positions and convex optimization is considered as a local optimization algorithm to optimize elements’ weights, which guarantees the complete match of the two factors.
At last, simulations are carried out to illustrate the effectiveness of the proposed algorithm in this paper.
Results show that, for a sparse semicircular array with multiple patterns, the hybrid algorithm can obtain a lower PSLL compared with existing methods and it consumes less calculation time in comparison with other hybrid algorithms.
American Psychological Association (APA)
Xia, Weijie& Jin, Xue& Dou, Fawang. 2016. Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization. International Journal of Antennas and Propagation،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1105136
Modern Language Association (MLA)
Xia, Weijie…[et al.]. Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization. International Journal of Antennas and Propagation No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1105136
American Medical Association (AMA)
Xia, Weijie& Jin, Xue& Dou, Fawang. Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization. International Journal of Antennas and Propagation. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1105136
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1105136