MIMO Mobile Terminal Tracking Using Bayesian Probability Estimation

We present a simple and efficient way of tracking a mobile terminal (MT) using multiple antennas at the transmitter and the receiver. We consider the double directional model and use the Bayesian framework in order to estimate the speed and direction of the MT. We show in particular how to exploit the space dimension, inherently present in a MIMO system, to increase the estimation accuracy. In contrast to the majority of solutions that have been proposed so far for MT localization and tracking, this new method is suitable for a non-line-of-sight (NLoS) propagation scenario and employs only one base station (BS).

[1]  Merouane Debbah,et al.  Capacity complying MIMO channel models , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[2]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[3]  Hisashi Kobayashi,et al.  Analysis of wireless geolocation in a non-line-of-sight environment , 2006, IEEE Transactions on Wireless Communications.

[4]  Markku J. Juntti,et al.  2-D Unitary ESPRIT Based Joint AOA and AOD Estimation for MIMO System , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[6]  Liuqing Yang,et al.  Optimal training for MIMO frequency-selective fading channels , 2005, IEEE Transactions on Wireless Communications.

[7]  E. Jaynes.  Probability theory : the logic of science , 2003 .

[8]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[9]  S. Al-Jazzar,et al.  ML and Bayesian TOA location estimators for NLOS environments , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[10]  Li Xiong,et al.  A selective model to suppress NLOS signals in angle-of-arrival (AOA) location estimation , 1998, Ninth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (Cat. No.98TH8361).

[11]  Ralf R. Müller,et al.  MIMO channel modeling and the principle of maximum entropy , 2005, IEEE Transactions on Information Theory.

[12]  Markku J. Juntti,et al.  Positioning for NLOS Propagation: Algorithm Derivations and Cramer-Rao Bounds , 2007, IEEE Trans. Veh. Technol..