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