Title :
Multipath Channel Tracking in OFDM Systems
Author :
Angelosante, Daniele ; Biglieri, Ezio ; Lops, Marco
Author_Institution :
Univ. degli Studi di Cassino, Cassino
Abstract :
High-quality channel estimation and tracking is central for coherent detection in wireless communication systems. Typical tracking algorithms assume the number of multipath components and delays to be known and constant, while their ampli- tudes may vary in time. In this work we focus on the more realistic assumption that also the number of channel taps is unknown and time-varying. The more complex estimation problem arising from this assumption is solved using Random-Set Theory, which allows one to regard the multipath-channel response as a single set-valued variable. Using a particle-filter implementation, we derive an estimator that simultaneously tracks the amplitudes and the number of channel taps for orthogonal frequency division multiplexed (OFDM) systems.
Keywords :
OFDM modulation; channel estimation; multipath channels; particle filtering (numerical methods); radio tracking; OFDM systems; channel estimation; multipath channel response; multipath channel tracking; particle filter implementation; random set theory; Bayesian methods; Channel estimation; Delay effects; Delay estimation; Interference; Multipath channels; OFDM; Signal processing; Tracking loops; Wireless communication;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
DOI :
10.1109/PIMRC.2007.4394478