Multivariate Analysis for Probabilistic WLAN Location Determination Systems

WLAN location determination systems are gaining increasing attention due to the value they add to wireless networks. In this paper, we present a multivariate analysis technique for enhancing the performance of WLAN location determination systems by taking the correlation between samples from the same access point into account. We show that the autocorrelation between consecutive samples from the same access point can be as high as 0.9. Giving a sequence of correlated signal strength samples from an access point, the technique estimates the user location based on the calculated probability of this sequence from the multivariate distribution. We use a linear autoregressive model to derive the multivariate distribution function for the correlated samples. Using analytical analysis, we show that the proposed technique provides better location accuracy over previous techniques especially for the highly correlated samples in a typical WLAN environment. Implementation of the technique in the...

• Type: Conference
• Year: 2005
• Where: MOBIQUITOUS
• Authors: Moustafa Youssef, Mohamed Abdallah
• Keywords: Access Point, Location Determination Systems, MOBIQUITOUS 2005, WLAN Location Determination