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.
作者
闫东
YAN Dong(Computer'Teaching and Research Room,Zhengzhou Shuqing Medical College,Zhengzhou 450064,China)
出处
《计算机应用文摘》
2022年第3期101-103,共3页
Chinese Journal of Computer Application
关键词
室内定位
位置指纹
行人航迹推算
indoor positioning
location fingerprinting
pedestrian trajectory projection
