山西大学学报（自然科学版）2026，Vol.49Issue(4)：632-641,10.DOI:10.13451/j.sxu.ns.2024022
针对移动目标的非线性融合集员滤波定位
Nonlinear Fusion Set-membership Filtering Localization for Moving Targets
摘要
Abstract
This paper proposes a self-adaptive nonlinear fusion set-membership filtering(NFSMF)algorithm for indoor location of mobile targets based on received signal strength indicator(RSSI).Firstly,based on interval mathematics theory,the boundary of the high-order residual term in the linearization of nonlinear systems is determined,which reduces the error generated by linearizing nonlinear systems.Secondly,the dynamic parameters required for local filters in the current positioning environment are adaptively obtained by solving a specific semi-definite programming(SDP)problem.Then,all data information from local sensors is processed and fused using information sharing coefficients to calculate an elliptical region containing the position coordinates of the mobile tar-get.Finally,the effectiveness of the proposed algorithm is verified through experiments and simulations.The results show that in the same positioning environment,NFSMF has higher localization accuracy compared to existing algorithms,with an average position-ing error of less than 0.2 m,and can obtain the optimal elliptical region containing the true position of the target.关键词
室内定位/接收信号强度/动态参数/高阶余项Key words
indoor location/received signal strength/dynamic parameters/high-order remainder分类
数理科学引用本文复制引用
杨波,闫竟文,唐志明,熊涛..针对移动目标的非线性融合集员滤波定位[J].山西大学学报（自然科学版）,2026,49(4):632-641,10.基金项目
山西省科技创新人才团队专项(202204051002015) （202204051002015）
山西省自然科学基金(202203021221018) （202203021221018）
