火力与指挥控制2026，Vol.51Issue(5)：59-66,8.DOI:10.3969/j.issn.1002-0640.2026.05.008
基于Cayley-menger行列式的基站非视距路径识别方法
Non-line-of-sight Path Recognition Based on Cayley-menger Determinant for Base Stations
摘要
Abstract
Aiming at the problem of poor personnel positioning accuracy caused by numerous non-line-of-sight(NLOS)paths in enclosed indoor environments,a NLOS path recognition algorithm is proposed.A four-state hypothetical model is constructed to comprehensively consider both line-of-sight(LOS)and non-line-of-sight(NLOS)conditions for fixed and mobile base stations.Using the related theorem of Cayley-Menger determinant,a detection model is established to identify the states of base stations.The identification results are used as prior information to estimate the position of the target tag.Simulation results show that the proposed algorithm can accurately identify NLOS paths and can be further applied in positioning systems.关键词
室内环境/非视距识别/Cayley-menger行列式/状态假设模型/标签定位Key words
indoor environment/NLOS identification/Cayley-menger determinant/state hypothesis model/tag positioning分类
信息技术与安全科学引用本文复制引用
刘宁,寇浩,徐飞虹,杨翠婷,王健安..基于Cayley-menger行列式的基站非视距路径识别方法[J].火力与指挥控制,2026,51(5):59-66,8.基金项目
山西省科技创新人才团队专项计划(202304051001035) （202304051001035）
山西省科技成果转化引导专项(202204021301055) （202204021301055）
山西省专利转化专项计划项目(202302003) （202302003）
山西省留学回国人员科研基金资助项目(2021-133) （2021-133）
