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Precoding in wireless communications systems using particle filtering for blind channel prediction

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3 Author(s)
Castro, P.M. ; Dpto. de Electronica y Sistemas, Univ. de A Coruna, Spain ; Castedo, L. ; Miguez, Joaquin

This work investigates the feasibility of adaptive Tomlinson-Harashima preceding schemes for mobile communication systems. It is assumed the existence of a feedback channel that sends channel status information (CSI) from the receiver to the transmitter. We will consider that CSI consists of channel impulse response predictions obtained with two methods: Kalman filtering and particle filtering. Kalman filtering estimates the channel parameters from training data whose transmission contributes to bandwidth-inefficient communication. However, blind estimation techniques, such as particle filtering, provide higher spectral efficiencies with a small loss in performance.

Published in:

Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on

Date of Conference:

11-14 July 2004