Exploit Kalman Filter to Improve Fingerprint-based Indoor Localization

被引：0

作者：

Liu, Donghui ^{[1
]}

Xiong, Yongping ^{[1
]}

Ma, Jian ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4 | 2012年

关键词：

indoor positioning; Kalman filter; tracking; Fingreprint; location;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Indoor localization enjoys a wide range of applications from helping firefighters navigate through a burning building to business men trying to find a room in a complex building. The mainstream indoor localization technology is based on the wireless signal strength such as WLAN and Zigbee. However, the special characteristics of the indoor environment usually results in the large localization error. This paper proposes to improve the performance of fingerprint method in tracking a mobile user in an indoor environment. In this paper, we introduce the Kalman filter and apply it to fingerprint based indoor tracking. The experiment and simulation results show that the method improves effectively the positioning accuracy.

引用

页码：2290 / 2293

页数：4