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Improving the Accuracy of Wireless LAN based Location Determination Systems using Kalman
 

Summary: Improving the Accuracy of Wireless LAN based
Location Determination Systems using Kalman
Filter and Multiple Observers
Raman Kumar K, Varsha Apte, Yogesh A Powar
Dept. of Computer Science and Engineering
Indian Institute of Technology Bombay
Mumbai, Maharastra, India
Email: {raman,varsha,yogesh}@cse.iitb.ac.in
Abstract-- Various RF based location determination systems
have been proposed that use received signal strength fingerprints
to identify locations. We implemented a Bayesian method [8] for
location determination in a WLAN testbed and were able to
get about 80% accuracy of estimation with a precision of 2.5
meters. We proposed two mechanisms to improve this accuracy:
1)Kalman filtering to remove noise in received signal strength
readings and 2) a technique which uses estimates from multiple
observers to determine the location. Results from an IEEE
802.11b based implementation of the first method shows that
Kalman filtering during the training phase can increase this
accuracy to 90%. The multiple observer technique that uses

  

Source: Apte, Varsha - Department of Computer Science and Engineering, Indian Institute of Technology Bombay

 

Collections: Computer Technologies and Information Sciences