光通信技术2026，Vol.50Issue(4)：90-95,6.DOI:10.13921/j.cnki.issn1002-5561.2026.04.014
基于改进GWO-DE融合算法的室内可见光定位方法
Indoor visible light positioning method based on improved GWO-DE fusion algorithm
摘要
Abstract
To address the insufficient accuracy of traditional received signal strength indicator(RSSI)positioning algorithms and the tendency of the grey wolf optimizer(GWO)to fall into local optima,this paper proposes an indoor visible light posi-tioning(VLP)method based on improved grey wolf optimizer-differential evolution(GWO-DE)fusion algorithm.This method employs a nonlinear exponential decay convergence factor instead of a linear strategy to accelerate convergence,introduces an adaptive dynamic weight allocation mechanism to balance global exploration and local exploitation capabilities,and integrates the mutation,crossover,and selection operations of DE to enhance population diversity.Furthermore,the improved GWO-DE fusion algorithm is combined with the least squares method(LSM)to optimize the positioning model.Simulation results dem-onstrate that the proposed algorithm achieves an average positioning error of 4.74 cm and a maximum positioning error of 7.9 cm,with 67%of test points exhibiting a positioning error of less than 4.7 cm.关键词
灰狼优化算法/差分进化算法/可见光定位/最小二乘法Key words
grey wolf optimizer algorithm/differential evolution algorithm/visible light positioning/least square method分类
信息技术与安全科学引用本文复制引用
贺军义,郭奕辰,张敏,刘子怡,刘帅..基于改进GWO-DE融合算法的室内可见光定位方法[J].光通信技术,2026,50(4):90-95,6.基金项目
国家自然科学基金项目(61872126,61772159)资助 （61872126,61772159）
河南省科技攻关项目(242102210185)资助. （242102210185）
