The research and improvement of indoor localization algorithms based on RSSI

Author

Zhongmin Chen ; Heng Fan

Author_Institution

Dept. of Comput. Sci., Huazhong Agric. Univ., Wuhan, China

fYear

2013

fDate

12-13 Oct. 2013

Firstpage

178

Lastpage

181

Abstract

This paper discusses various factors of indoor localization system, and analyzes distance measurement based on RSSI. We propose a novel indoor localization algorithm, and give the prior probability and posterior probability of target location based on Bayes filtering theory. For dynamic target, we utilize Kalman filter to compensate distance measurement errors of dynamic target, solving the problems of localization and tracking of other target objects on the ground.

Keywords

Bayes methods; Kalman filters; distance measurement; error compensation; filtering theory; indoor communication; object tracking; target tracking; Bayes filtering theory; Kalman filter; RSSI; distance measurement analysis; distance measurement error compensation; dynamic target; ground target object tracking; indoor localization algorithm; posterior probability; prior probability; received signal strength indicator; target location; Computer science; Conferences; Decision support systems; Handheld computers; Bayes Theory; Indoor Localization; Kalman Filter; RSSI;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on

Conference_Location

Dalian

Type

conf

DOI

10.1109/ICCSNT.2013.6967090

Filename

6967090