G-Loc: Indoor localization leveraging gradient-based fingerprint map

Author

Yuanchao Shu ; Coue, Philippe ; Yinghua Huang ; Jiaqi Zhang ; Peng Cheng ; Jiming Chen

Author_Institution

State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China

fYear

2014

fDate

April 27 2014-May 2 2014

Firstpage

129

Lastpage

130

Abstract

In this paper, we propose G-Loc which leverages the gradient-based fingerprint map in localization. G-Loc firstly builds a gradient-based map (Gmap) by comparing RSSI values at nearby positions and runs an online extended particle filter to localize the user/device. With the robust Gmap, G-Loc can be more adaptive to the time-variant RSSI and effectively reduces the overhead in fingerprint map calibration. We fully implemented G-Loc and conducted extensive experiments. In an office building with both stable and highly dynamic WiFi signals, G-Loc achieved an 80 percentile accuracy of 4.1m and 5.1m, respectively.

Keywords

fingerprint identification; gradient methods; indoor radio; mobile computing; particle filtering (numerical methods); radionavigation; wireless LAN; G-Loc; Gmap; device localisation; dynamic WiFi signal; gradient-based fingerprint map calibration; gradient-based map; indoor localization; online extended particle filter; time-variant RSSI; user localisation; Accuracy; Engines; IEEE 802.11 Standards; Legged locomotion; Radar; Robustness; Smart phones;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on

Conference_Location

Toronto, ON

Type

conf

DOI

10.1109/INFCOMW.2014.6849189

Filename

6849189