Paper Info
Title
FFT-HQ Channel Estimating Algorithm in MB-OFDM UWB System
Abstract
Channel estimation is an essential technique for the orthogonal frequency division multiplexing (OFDM) based ultra-wide band (UWB) system. In this paper, a novel channel estimating method, fast Fourier transform-Hannan-Quinn(FFT-HQ) algorithm, is proposed. Based on the estimated channel response, the algorithm weighted the eigenvalue of the estimated channel response and obtained the length of rectangular window. Therefore, the windowed UWB channel response is found. The simulations showed that the FFT-HQ algorithm has 1~2 dB margins over FFT-based algorithm.
Year
DOI
Venue
2011
10.1109/CMC.2011.97
CMC
Keywords
Field
DocType
fourier transform-hannan-quinn,novel channel,uwb,eigenvalue,ofdm modulation,orthogonal frequency division multiplexing,db margin,ultra wideband communication,mb-ofdm uwb system,wireless communications,hannan-quinnt,essential technique,fft-hq algorithm,channel response estimation,ofdm,estimated channel response,eigenvalues and eigenfunctions,ultra-wide band system,fast fourier transform-hannan-quinn algorithm,fft-based algorithm,fast fourier transforms,channel estimation,fft-hq channel estimating algorithm,multiband-ofdm uwb system,windowed uwb channel response,frequency response,wireless communication,signal to noise ratio,bit error rate,estimation
Frequency response,Wireless,Computer science,Signal-to-noise ratio,Algorithm,Communication channel,Fast Fourier transform,Orthogonal frequency-division multiplexing,Eigenvalues and eigenvectors,Bit error rate
Conference
ISBN
Citations 
PageRank 
978-1-61284-312-4
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Jianqiang Li104.06
Zhihua Bao24410.32
Shibing Zhang3397.03