DocumentCode
2263770
Title
A Bayesian Approach for RF-Based Indoor Localisation
Author
Widyawan ; Klepal, Martin ; Pesch, Dirk
Author_Institution
Cork Inst. of Technol., Cork
fYear
2007
fDate
17-19 Oct. 2007
Firstpage
133
Lastpage
137
Abstract
The proliferation of Wireless LAN and Wireless Sensor Network make the technologies become an attractive proposition for indoor localisation. Both technologies have provided communication infrastructure and hence RF-based localisation with WLAN and WSN becomes a software-only solution. WLAN-based localisation generally provides room accuracy, therefore sensor data fusion with WSN is proposed when better location accuracy is needed. This paper will describe a Bayesian approach for indoor localisation. A suboptimal sequential Bayesian method of Particle Filter combined with Map Filtering technique is used for sensor data fusion between WLAN and WSN. The location system performance also will be evaluated.
Keywords
Bayes methods; indoor radio; maximum likelihood estimation; particle filtering (numerical methods); sensor fusion; wireless LAN; wireless sensor networks; RF-based indoor localisation; map filtering technique; particle filter technique; sensor data fusion; suboptimal sequential Bayesian method; wireless LAN; wireless sensor network; Bayesian methods; Calibration; Databases; Filtering; Navigation; Particle filters; Sensor fusion; Sensor phenomena and characterization; Wireless LAN; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communication Systems, 2007. ISWCS 2007. 4th International Symposium on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-0979-2
Electronic_ISBN
978-1-4244-0979-2
Type
conf
DOI
10.1109/ISWCS.2007.4392316
Filename
4392316
Link To Document