DocumentCode :
3494694
Title :
Adaptive Wiener filters for time-varying channel estimation in wireless OFDM systems
Author :
Schafhuber, Dieter ; Matz, Gerald ; Hlawatsch, Franz
Author_Institution :
Inst. of Commun. & Radio-Frequency Eng., Vienna Univ. of Technol., Austria
Volume :
4
fYear :
2003
fDate :
6-10 April 2003
Abstract :
In wireless OFDM systems, the time-varying channel is often estimated by a Wiener filter-type MMSE estimator based on pilot symbols. Such an estimator, however, requires statistical prior knowledge that is not easily obtained. Here, we propose adaptive Wiener filters for channel estimation that do not require statistical prior knowledge. We also calculate the performance limits of finite-length and infinite-length MMSE estimation. Simulation results demonstrate the good performance of our adaptive estimators.
Keywords :
OFDM modulation; Wiener filters; adaptive filters; broadband networks; channel estimation; least mean squares methods; radio networks; statistical analysis; time-varying channels; adaptive Wiener filters; adaptive filters; broadband wireless communications; finite-length MMSE estimation; infinite-length MMSE estimation; statistical prior knowledge; time-varying channel estimation; wireless OFDM systems; Baseband; Channel estimation; Discrete Fourier transforms; Europe; OFDM; Radio frequency; Scattering; Statistics; Time-varying channels; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1202736
Filename :
1202736
Link To Document :
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