Title
Doubly-Selective Channel Estimation for Packet OFDM Systems with Virtual Subcarriers
Abstract
Channel estimation based on two-dimensional discrete- time Fourier transform interpolation (2D-DFTI) is suitable for orthogonal frequency division multiplexing (OFDM) systems because of its robustness to doubly-selective fading channels and high computational efficiency. However, its performance will degrade significantly for packet OFDM systems with virtual subcarriers due to the Gibbs phenomenon in both frequency- domain and time-domain. We have already proposed the frequency- domain enhanced DFT interpolation (FD-EDFTI) to effectively suppress the Gibbs phenomenon in frequency-domain, while in this paper the time-domain enhanced DFT interpolation (TD-EDFTI) is further proposed to mitigate the Gibbs phenomenon in time-domain. Therefore, doubly-selective channel estimation based on 2D-EDFTI can be easily implemented for packet OFDM systems with virtual subcarriers by concatenating FD-EDFTI with TD-EDFTI to efficiently suppress the Gibbs phenomenon in both frequency- domain and time-domain, while keeping good robustness and high computational efficiency.
Year
DOI
Venue
2008
10.1109/VETECF.2008.156
VTC Fall
Keywords
Field
DocType
time-domain enhanced dft interpolation,doubly-selective fading channels,frequency-domain,two-dimensional discrete-time fourier transform interpolation,interpolation,frequency-domain enhanced dft interpolation,high computational efficiency,fading channels,ofdm modulation,orthogonal frequency division multiplexing,virtual subcarriers,computational complexity,discrete fourier transforms,time-domain,doubly-selective channel estimation,gibbs phenomenon,channel estimation,packet ofdm systems,ofdm,indexes,time domain,discrete time fourier transform,fading channel,frequency domain,frequency domain analysis
Time domain,Frequency domain,Gibbs phenomenon,Fading,Computer science,Interpolation,Robustness (computer science),Fourier transform,Electronic engineering,Orthogonal frequency-division multiplexing
Conference
ISSN
ISBN
Citations 
1090-3038 E-ISBN : 978-1-4244-1722-3
978-1-4244-1722-3
2
PageRank 
References 
Authors
0.49
9
3
Name
Order
Citations
PageRank
Xiaolin Hou17615.75
Zhan Zhang2153.03
Hidetoshi Kayama312824.09