Performance Improvement of Spaceborne SAR Using Antenna Pattern Synthesis Based on Quantum-Behaved Particle Swarm Optimization
This study improves the performance of a spaceborne synthetic aperture radar (SAR) system using an antenna mask design method and antenna pattern synthesis algorithms for an active phased array SAR system. The SAR antenna is an important component that affects the SAR system performance because it i...
Saved in:
| Main Authors: | Young-Jin Won, Kyun Ho Lee, Jae-Hyun Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2017/6928970 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization
by: Tao Zhang, et al.
Published: (2012-01-01) -
An Improved Quantum-Behaved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for AUV Path Planning
by: HanBin Zhang, et al.
Published: (2023-01-01) -
Analysis of the Characteristics of Mesh with Complex Knitting Patterns for Spaceborne Reflector Antennas
by: Jing Huang, et al.
Published: (2024-11-01) -
Multifractional Brownian Motion and Quantum-Behaved Partial Swarm Optimization for Bearing Degradation Forecasting
by: Song Wanqing, et al.
Published: (2020-01-01) -
The Development of a Spaceborne SAR Based on a Reflector Antenna
by: Yongfei Huang, et al.
Published: (2025-07-01)