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.
Highlights
Ultra-wideband (UWB) wireless systems have generated considerable interest as an indoor short-distance highdata-rate transmission in wireless communications over the past few years
The MB-orthogonal frequency division multiplexing (OFDM) developed by the WiMedia Alliance [4] is the first UWB radio transmission technology
An adaptive low-rank channel estimation scheme based on the Wiener filtering (WF) technique is proposed for MB-OFDM UWB communication systems
Summary
Ultra-wideband (UWB) wireless systems have generated considerable interest as an indoor short-distance highdata-rate transmission in wireless communications over the past few years. An adaptive low-rank channel estimation scheme based on the Wiener filtering (WF) technique is proposed for MB-OFDM UWB communication systems. This reduced-rank (RR) WF-based algorithm employs an adaptive 2-to-1 fuzzy-inference controlled (FIC) filter rank. A major drawback of the WF estimator is its high computational complexity, especially if matrix inversion operation is required each time as the data in the transmitted vector are altered. In order to alleviate the computational load in the centroid-defuzzification calculation of (18), fewer points Υ are preferred
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
