NDLI: 3-D Mobile-to-Mobile channel tracking with first-order autoregressive model-based Kalman filter

Content Provider	IEEE Xplore Digital Library
Author	Ghandour-Haidar, S. Ros, L. Brossier, J.-M.
Copyright Year	2013
Description	Author affiliation: Image & Signal Dept., GIPSA-Lab., St. Martin d'Hères, France (Ghandour-Haidar, S.; Ros, L.; Brossier, J.-M.)
Abstract	This paper deals with channel estimation in Mobile-to-Mobile communication assuming three-dimensional scattering environment. It approximates the channel by a first-order autoregressive (AR(1)) model and tracks it by a Kalman filter. The common method used in the literature to estimate the parameter of AR(1) model is based on a correlation matching criterion. We propose another criterion based on the Minimization of the Asymptotic Variance of the Kalman filter, and we justify why it is more appropriate for slow fading variations. This paper provides the closed-form expression of the optimal AR(1) parameter under minimum asymptotic variance criterion and the approximated expression of the estimation variance in output of the Kalman filter, both for Fixed-to-Mobile and Mobile-to-Mobile communication channels.
Starting Page	000464
Ending Page	000469
File Size	243563
Page Count	6
File Format	PDF
ISBN	9781479947966
DOI	10.1109/ISSPIT.2013.6781925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-12
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Doppler effect Mathematical model Signal to noise ratio Scattering Solid modeling Kalman filters Equations 3-D scattering environment Channel estimation Autoregressive model Kalman filter Mobile-to-Mobile communication
Content Type	Text
Resource Type	Article

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