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 :
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