Reduced-rank adaptive time-domain channel estimation for OFDM systems

Author

Xuan Huan Nguyen ; Jinho Choi

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW

fYear

2004

fDate

7-7 Sept. 2004

Firstpage

135

Lastpage

139

Abstract

In this paper, we consider a reduced-rank adaptive channel estimation for orthogonal frequency division multiplexing (OFDM) systems. The pilot-aided channel estimation is rawly carried out in the time domain, which is shown to have the better performance compared to the frequency-domain estimator. The adaptive modified least mean square (LMS) algorithm is then applied to further improve the estimates of the channel coefficients. In order to attain lower complexity as well as fast convergence, a reduced-rank technique is also applied to the adaptive algorithm

Keywords

OFDM modulation; adaptive estimation; channel estimation; computational complexity; convergence of numerical methods; least mean squares methods; time-domain analysis; OFDM system; adaptive algorithm; frequency-domain estimator; least mean square algorithm; orthogonal frequency division multiplexing; pilot-aided channel estimation; reduced-rank adaptive time-domain channel estimation; Adaptive algorithm; Adaptive filters; Channel estimation; Fading; Frequency domain analysis; Frequency estimation; Least squares approximation; OFDM; Statistics; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Systems, 2004. ICCS 2004. The Ninth International Conference on

Conference_Location

Singapore, China

Print_ISBN

0-7803-8549-7

Type

conf

DOI

10.1109/ICCS.2004.1359354

Filename

1359354