Beam Performance Optimization of Multibeam Imaging Sonar Based on the Hybrid Algorithm of Binary Particle Swarm Optimization and Convex Optimization
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 o...
Saved in:
Main Authors: | Weijie Xia, Xue Jin, Fawang Dou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2016/3592973 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization
by: Shuhan Chen, et al.
Published: (2017-01-01) -
Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization
by: Emad A. Abood, et al.
Published: (2025-01-01) -
Joint beam hopping and coverage control optimization algorithm for multibeam satellite system
by: Guoliang XU, et al.
Published: (2023-04-01) -
Parallel Swarms Oriented Particle Swarm Optimization
by: Tad Gonsalves, et al.
Published: (2013-01-01) -
Optimal Control for a Parallel Hybrid Hydraulic Excavator Using Particle Swarm Optimization
by: Dong-yun Wang, et al.
Published: (2013-01-01)