现代雷达2024，Vol.46Issue(7)：52-61,10.DOI:10.16592/j.cnki.1004-7859.2024.07.007
基于PSO联合运动补偿的ISAR成像算法
ISAR Imaging Algorithm Based on PSO Joint Motion Compensation
莫俊贤 1张月 1陈锦帆 1谢瀚锋 1郑梓祥1
作者信息
- 1. 中山大学电子与通信工程学院,广东深圳 518107
- 折叠
摘要
Abstract
In traditional inverse synthetic aperture radar(ISAR)imaging,target motion compensation usually requires envelope a-lignment to achieve one-dimensional range profile alignment,followed by phase correction.This compensation method is called cascaded motion compensation.Cascade motion compensation under low signal-to-noise ratio can easily increase error accumula-tion,ultimately leading to image blurring and defocusing,seriously affecting imaging quality.To address this issue,this paper pro-poses an ISAR imaging algorithm based on particle swarm optimization(PSO)combined with motion compensation.This algorithm decomposes the motion model of the target,sets parameter vectors through high-order expansion,and uses image sharpness as the cost function to find the optimal value of vector parameters for joint motion compensation of the target,resulting in the best ISAR imaging effect.In the process of solving the optimal parameters,this article adopts the particle swarm optimization(PSO)algo-rithm,which achieves faster convergence during operation.This algorithm improves the solving speed of the model and obtains ISAR imaging with better focusing effect.This article verifies the effectiveness of the algorithm through simulation data and field measurement data.关键词
ISAR成像/联合运动补偿/PSO算法Key words
ISAR imaging/joint motion compensation/PSO algorithm分类
信息技术与安全科学引用本文复制引用
莫俊贤,张月,陈锦帆,谢瀚锋,郑梓祥..基于PSO联合运动补偿的ISAR成像算法[J].现代雷达,2024,46(7):52-61,10.
