计算机与数字工程2025,Vol.53Issue(1):1-4,10,5.DOI:10.3969/j.issn.1672-9722.2025.01.001
基于观测源加权的三边定位改进算法
Research on Trilateral Localization Algorithm Based on Observation Source Weighting
摘要
Abstract
Aiming at the problem that the RFID localization technology based on the trilateral positioning algorithm has large localization errors and poor system stability in the indoor environment,this paper proposes an improved trilateral positioning algo-rithm based on observation source weighting.The algorithm selects the nearest three points after the RSSI ranging,and obtains the coarse localization coordinates through the trilateral localization algorithm and the weighting algorithm.Then,the coarse localization coordinates are used to calculate the corresponding deviation reliability weight through the observation source.Finally,the coordi-nates of the label to be located are obtained by weighting.The experiment results show that the localization accuracy of the TLOW al-gorithm is improved by 26.18%,and the system stability is improved by 38.45%compared with the trilateral localization algorithm.In the indoor environment,the TLOW algorithm has good applicability and can meet the basic needs of indoor localization.关键词
射频识别/三边定位/差值可信度/定位精度/稳定性Key words
RFID/trilateral localization/deviation reliability/positioning accuracy/stability分类
信息技术与安全科学引用本文复制引用
罗仕涛,贾小林,顾娅军..基于观测源加权的三边定位改进算法[J].计算机与数字工程,2025,53(1):1-4,10,5.基金项目
国家自然科学基金面上项目(编号:61471306) (编号:61471306)
四川省重点研发计划项目(编号:2020YFS0360) (编号:2020YFS0360)
四川省自然科学基金项目(编号:2022NSFSC0548)资助. (编号:2022NSFSC0548)