信号处理2026，Vol.42Issue(6)：884-909,26.DOI:10.12466/xhcl.2026.06.009
一种基于最小空间加权图像熵多模态优化的多舰船目标ISAR成像算法
Multi-Ship Target ISAR Imaging Algorithm Based on Multimodal Optimization of Minimum Spatially Weighted Image Entropy
摘要
Abstract
Inverse synthetic aperture radar(ISAR)imaging is a vital technique for maritime surveillance.As maritime targets increase in density,multiple ships with varying motion states often appear simultaneously within the radar's illu-mination range.This scenario can result in intersecting or overlapping range profile sequences,leading to mutual inter-ference among echoes and posing significant challenges for echo separation,translational motion compensation,and subsequent imaging.To address these challenges,this paper introduces a multi-ship target ISAR imaging algorithm that employs multimodal optimization of minimum spatially weighted image entropy.Firstly,to address the difficulty in achieving accurate parameter search in multi-target scenarios using the image entropy cost function,we proposed a mini-mum spatially weighted image entropy optimization criterion.This criterion utilized an anisotropic generalized Gaussian window function to weight imaging results,which effectively reshaped the fitness landscape for parameter optimization and enabled a more robust estimation of the motion parameters of multiple targets.Second,to search for multi-target pa-rameters simultaneously,we designed a hybrid multimodal optimization algorithm based on dynamic population split-ting,and achieved synergy between wide-area exploration and local fine search.By simultaneously integrating the fast convergence capability of particle swarm optimization with the strong exploitation ability of white shark optimization,the algorithm simultaneously and precisely estimated the ideal translational motion parameters for multiple targets within a complex parameter space.When combined with the polar format algorithm,this approach facilitated completely pro-cessing echo separation,translational motion compensation,and imaging for multiple ship targets,and ultimately pro-duced focused ISAR images of each target.Experimental results using simulated and measured data showed that the pro-posed algorithm effectively addressed the challenges of multi-target separation and imaging under overlapping range-profile sequences,and achieved high-resolution imaging of multiple targets.关键词
逆合成孔径雷达/多舰船目标成像/参数估计/空间加权图像熵/多模态优化Key words
inverse synthetic aperture radar/multi-ship target imaging/parameter estimation/spatially weighted im-age entropy/multimodal optimization分类
信息技术与安全科学引用本文复制引用
高若瑜,刘子滔,王勇..一种基于最小空间加权图像熵多模态优化的多舰船目标ISAR成像算法[J].信号处理,2026,42(6):884-909,26.基金项目
国家杰出青年科学基金(62325104) （62325104）
国家自然科学基金青年科学基金(C类)(62301191) The National Science Fund for Distinguished Young Scholars(62325104) （C类）
The Youth Science Foundation Project of National Natural Science Foundation of China(62301191) （62301191）
