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MIMO Mobile Terminal Tracking Using Bayesian Probability Estimation

Konstantinos Papakonstantinou Merouane Debbah 1 Dirk Slock 2
1 SUPELEC-Campus Gif
2 EURECOM
Abstract : 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 employes only one Base Station (BS)
Keywords : MIMO bayesian probability terminal localization terminal tracking
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00280544
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Submitted on : Monday, May 19, 2008 - 11:53:45 AM
Last modification on : Monday, December 14, 2020 - 12:28:42 PM

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  • HAL Id : hal-00280544, version 1

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EURECOM | CNRS | SUPELEC | INSMI

Citation

Konstantinos Papakonstantinou, Merouane Debbah, Dirk Slock. MIMO Mobile Terminal Tracking Using Bayesian Probability Estimation. Asilomar Conference on Signals, Systems, and Computers 2007, Nov 2007, Pacific Grove, United States. pp.Annals. ⟨hal-00280544⟩

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