Modeling of the TOA-based distance measurement error using UWB indoor radio measurements

Time of arrival (TOA) estimation used with ultra wideband (UWB) transmission is currently the most popular technique for accurate indoor geolocation. Due to severe indoor multipath conditions, these techniques often suffer from significant inaccuracy in location estimation. In this paper, we introduce a model for the error in estimated distance as measured from the estimated TOA of the direct path (DP) in a typical multipath indoor environment. The TOA estimation error has two components, (1) the errors caused by the multipath dispersion affecting any signal path and (2) the errors caused by undetected direct path (UDP) conditions. The statistical behavior of this error is also a function of the system bandwidth. The empirical data from UWB indoor measurements in an office building are used to design a model for the distance measurement error. This model relates the behavior of the two components of the TOA estimation error to the bandwidth of the system.

[1]  Kaveh Pahlavan,et al.  Super-resolution TOA estimation with diversity for indoor geolocation , 2004, IEEE Transactions on Wireless Communications.

[2]  Kaveh Pahlavan,et al.  Wireless Information Networks , 1995 .

[3]  Kaveh Pahlavan,et al.  Modeling of the distance error for indoor geolocation , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[4]  Elizabeth M. Belding-Royer,et al.  A review of current routing protocols for ad hoc mobile wireless networks , 1999, IEEE Wirel. Commun..

[5]  Kaveh Pahlavan,et al.  Wireless Information Networks: Pahlavan/Wireless Information Networks, Second Edition , 2005 .

[6]  Kaveh Pahlavan,et al.  Measurement of TOA using frequency domain characteristics for indoor geolocation , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[7]  Kaveh Pahlavan,et al.  Wireless information networks, Second Edition , 2005, Wiley series in telecommunications and signal processing.

[8]  Asim Smailagic,et al.  Location sensing and privacy in a context-aware computing environment , 2002, IEEE Wirel. Commun..

[9]  Kaveh Pahlavan,et al.  Wideband radio propagation modeling for indoor geolocation applications , 1998 .

[10]  Moe Z. Win,et al.  The ultra-wide bandwidth indoor channel: from statistical model to simulations , 2002, IEEE J. Sel. Areas Commun..

[11]  G.B. Giannakis,et al.  Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.

[12]  Robert J. Fontana Advances in Ultra Wideband Indoor Geolocation Systems , 2001 .

[13]  Kaveh Pahlavan,et al.  Bandwidth effect on distance error modeling for indoor geolocation , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..