A Bayesian approach for RF-B ased indoor localisation

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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.

Original languageEnglish
Title of host publicationProceedings of 4th IEEE Internatilonal Symposium on Wireless Communication Systems 2007, ISWCS
Pages133-137
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event4th IEEE International Symposium on Wireless Communication Systems 2007, ISWCS'07 - Trondheim, Norway
Duration: 16 Oct 200719 Oct 2007

Publication series

NameProceedings of 4th IEEE Internatilonal Symposium on Wireless Communication Systems 2007, ISWCS

Conference

Conference4th IEEE International Symposium on Wireless Communication Systems 2007, ISWCS'07
Country/TerritoryNorway
CityTrondheim
Period16/10/0719/10/07

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