基于多标签模糊推理改进KNN家居老人定位算法研究  

Research on positioning algorithm for the elderly at home furnishing based on multi-tag fuzzy reasoning improved-KNN

作　　者：周绍军[1] 刘晓霞[1] 胡云冰 ZHOU Shao-jun;LIU Xiao-xia;HU Yun-bing(School of Automation and Electrical Engineering,Chengdu University of Technology,Chongzhou 611231,China;School of Informatics,Xiamen University,Xiamen 361001,China)

机构地区：[1]四川水利职业技术学院信息工程学院,四川崇州611231 [2]厦门大学信息学院,福建厦门361001

出　　处：《西南民族大学学报（自然科学版）》2022年第4期421-427,共7页Journal of Southwest Minzu University(Natural Science Edition)

基　　金：四川水利职业技术学院2019年度科研项目(KY2019-04);四川水利职业技术学院2020年度科研项目(KY2020-30)。

摘　　要：针对家居老人家居定位问题,提出一种模糊改进KNN的RFID定位算法.首先设计了物联网RFID感知技术的家居老人位置感知与定位模型,然后从RFID多标签定位原理出发,设计了基于模糊推理的改进KNN的定位算法,并对所提出的算法进行了实验和仿真对比分析.通过实验和仿真对比分析,所提出的算法在定位误差方面,较参比算法优越.Aiming at the problem of home location for the elderly, a fuzzy improved KNN RFID location algorithm is proposed.Firstly, the location sensing and location model of the elderly in the home based on the RFID sensing technology of the Internet of things is designed.Then, based on the RFID multi tag location principle, an improved KNN location algorithm based on fuzzy reasoning is designed, and the proposed algorithm is tested and simulated.Through the comparative analysis of experiments and simulations, the proposed algorithm is superior to the reference algorithm in terms of positioning error.

关 键 词：位置感知 定位算法 家居老人 多标签 

分 类 号：TP391.45[自动化与计算机技术—计算机应用技术]