Academic Journals Database
Disseminating quality controlled scientific knowledge

Adaptive low-rank channel estimation for multi-band OFDM ultra-wideband communications

ADD TO MY LIST
 
Author(s): Hu Chia-Chang | Lee Shih-Chang

Journal: EURASIP Journal on Advances in Signal Processing
ISSN 1687-6172

Volume: 2011;
Issue: 1;
Start page: 64;
Date: 2011;
Original page

Keywords: channel estimation | MB-OFDM | ultra-wideband (UWB) | Wiener filter

ABSTRACT
Abstract In this paper, an adaptive channel estimation scheme based on the reduced-rank (RR) Wiener filtering (WF) technique is proposed for multi-band (MB) orthogonal frequency division multiplexing (OFDM) ultra-wideband (UWB) communication systems in multipath fading channels. This RR-WF-based algorithm employs an adaptive fuzzy-inference-controlled (FIC) filter rank. Additionally, a comparative investigation into various channel estimation schemes is presented as well for MB-OFDM UWB communication systems. As a consequence, the FIC RR-WF channel estimation algorithm is capable of producing the bit-error-rate (BER) performance similar to that of the full-rank WF channel estimator and superior than those of other interpolation-based channel estimation schemes.

Tango Rapperswil
Tango Rapperswil

    
RPA Switzerland

RPA Switzerland

Robotic process automation