Abstract | ||
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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 |
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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 Hou | 1 | 76 | 15.75 |
Zhan Zhang | 2 | 15 | 3.03 |
Hidetoshi Kayama | 3 | 128 | 24.09 |