Positioning Limits for UMTS Mobiles in Delay & Angular Dispersive Channels

The conventional methods for wireless positioning are based on the estimation of direction-of-arrival (DOA), time-of-arrival (TOA) or time-difference-of-arrival (TDOA), once multiple timing or angles of arrival are measured at a convenient number of base stations (BS). The use of smart antennas (both in diversity or beamforming configurations) offers increased potentialities in the task of locating a user equipment (UE) since better estimation of delays is obtained, and AOAs may be determined. In those cases where both TOA and AOA are reliably estimated, positioning may be obtained with a lower variance than using a single measure. However, the accuracy is mainly limited by the wild conditions of the propagation channel and the multiple access schemes. In particular, the delay-angular-Doppler spreads, the SINR, the multipath, the number of possible averages, etc. limit seriously the expectations aroused by the increased UMTS bandwitdh.

[1]  M. Hata,et al.  Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[2]  Petre Stoica,et al.  MUSIC, maximum likelihood and Cramer-Rao bound , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[3]  Don J. Torrieri,et al.  Statistical Theory of Passive Location Systems , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Hisato Iwai,et al.  Wideband Propagation Model for the Analysis of the Effect of the Multipath Fading on the Near-Far Problem in CDMA Mobile Radio Systems (Special Issue on Land Mobile/Portable Propagation) , 1993 .

[5]  M. V. Clark,et al.  A new path-gain/delay-spread propagation model for digital cellular channels , 1997 .

[6]  Erik Dahlman,et al.  Compressed mode techniques for inter-frequency measurements in a wide-band DS-CDMA system , 1997, Proceedings of 8th International Symposium on Personal, Indoor and Mobile Radio Communications - PIMRC '97.

[7]  三瓶 政一,et al.  Applications of digital wireless technologies to global wireless communications , 1997 .

[8]  Gregory G. Raleigh,et al.  Joint space-time parameter estimation for wireless communication channels , 1998, IEEE Trans. Signal Process..

[9]  Antti Toskala,et al.  WCDMA for UMTS: Radio Access for Third Generation Mobile Communications , 2000 .

[10]  Raviv Raich,et al.  Bearing estimation for a distributed source: modeling, inherent accuracy limitations and algorithms , 2000, IEEE Trans. Signal Process..

[11]  Preben E. Mogensen,et al.  A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments , 2000, IEEE Trans. Veh. Technol..

[12]  Klaus I. Pedersen,et al.  METRA: Experimental Investigation of MIMO Radio Channels for Indoor Picocell Scenarios , 2000 .

[13]  J. Vidal,et al.  Positioning accuracy when tracking UMTS mobiles in delay and angular dispersive channels , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[14]  Editors , 2003 .