Article thumbnail

Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization

By Weijie Xia, Xue Jin and Fawang Dou

Abstract

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

Topics: Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Cellular telephone services industry. Wireless telephone industry, HE9713-9715
Publisher: Hindawi Limited
Year: 2016
DOI identifier: 10.1155/2016/3592973
OAI identifier: oai:doaj.org/article:f5d6c4c36969447ba574f3b40761cb78
Journal:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://doaj.org/toc/1687-5877 (external link)
  • https://doaj.org/toc/1687-5869 (external link)
  • http://dx.doi.org/10.1155/2016... (external link)
  • https://doaj.org/article/f5d6c... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.