基于多信号源融合的室内定位技术方案探讨  

Exploration of indoor positioning technology solution based onmulti-signal source fusion

作　　者：闫东 YAN Dong(Computer'Teaching and Research Room,Zhengzhou Shuqing Medical College,Zhengzhou 450064,China)

机构地区：[1]郑州澍青医学高等专科学校计算机教研室,郑州450064

出　　处：《计算机应用文摘》2022年第3期101-103,共3页Chinese Journal of Computer Application

摘　　要：随着社会的发展,室内定位越来越重要。在室内定位技术基本原理的基础上,衍生出了多种技术方案。文章先讨论了当前主流的室内定位技术,然后提出一种基于Wi-Fi信号位置指纹技术和行人航迹推算技术相结合的室内定位系统,同时引入KNN算法、扩展卡尔曼滤波算法,提高了室内定位精度。With the development of society,indoor positioning is becoming more and more important,Indoor positioning technology has derived a variety of technical solutions based on the basicpositioning principles.This paper first discusses the current mainstream indoor positioningtechnologies,and the proposed scheme in this paper adopts an indoor positioning system based on thecombination of Wi-Fi signal location fingerprinting technology and pedestrian trajectory projectiontechnology,while introducing KNN algorithm and extending Kalman filtering algorithm to achievethe purpose of effectively improving indoor positioning accuracy.

关 键 词：室内定位 位置指纹 行人航迹推算 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]