Handling samples correlation in the Horus system Export

@inproceedings{citeulike:1234665, abstract = {We present an autoregressive model for modelling samples autocorrelation from the same access point in WLAN location determination systems. Our work is in the context of the Horus system, which is a probabilistic WLAN location determination system. We show that the autocorrelation between consecutive samples from the same access point can be as high as 0.9. Using our model, we describe a technique to use multiple signal strength samples from each access point, taking the high autocorrelation into account, to achieve better accuracy. Implementation of the technique in the Horus system shows that the average system accuracy is increased by more than 50\%. Our results show that assuming independence of samples from the same access point can lead to degraded performance as the number of samples used in the estimation algorithm is increased, due to the wrong independence assumption. We also discuss how to incorporate the new technique with other algorithms for enhancing the performance of WLAN location determination systems.}, author = {Youssef, M. and Agrawala, A.}, citeulike-article-id = {1234665}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1356989}, comment = {horus }, journal = {INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies}, keywords = {fingerprint, indoor, localization, range-base}, pages = {1023--1031 vol.2}, posted-at = {2008-07-15 08:04:40}, priority = {2}, title = {Handling samples correlation in the Horus system}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1356989}, volume = {2}, year = {2004} }

TY - CONF ID - citeulike:1234665 L3 - citeulike-article-id:1234665 N2 - We present an autoregressive model for modelling samples autocorrelation from the same access point in WLAN location determination systems. Our work is in the context of the Horus system, which is a probabilistic WLAN location determination system. We show that the autocorrelation between consecutive samples from the same access point can be as high as 0.9. Using our model, we describe a technique to use multiple signal strength samples from each access point, taking the high autocorrelation into account, to achieve better accuracy. Implementation of the technique in the Horus system shows that the average system accuracy is increased by more than 50%. Our results show that assuming independence of samples from the same access point can lead to degraded performance as the number of samples used in the estimation algorithm is increased, due to the wrong independence assumption. We also discuss how to incorporate the new technique with other algorithms for enhancing the performance of WLAN location determination systems. JF - INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies EP - 1031 vol.2 TI - Handling samples correlation in the Horus system VL - 2 SP - 1023 KW - fingerprint KW - indoor KW - localization KW - range-base N1 - horus AU - Youssef, M AU - Agrawala, A PY - 2004/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1356989 ER -