A WDFT-Based Channel Estimator with Non-adaptive Linear Prediction in Non-sample Spaced Channels

A WDFT-Based Channel Estimator with Non-adaptive Linear Prediction in Non-sample Spaced Channels

This letter addresses the edge effect on a windowed discrete Fourier transform (WDFT)-based channel estimator for orthogonal frequency division multiplexing (OFDM) systems with virtual carriers in non-sample spaced channels and derives a sufficient condition to reduce the edge effect. Moreover, a mo...

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Veröffentlicht in:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2010/07/01, Vol.E93.A(7), pp.1375-1378
Hauptverfasser: SEO, Jeong-Wook, JEON, Won-Gi, PAIK, Jong-Ho, LEE, Seok-Pil, KIM, Dong-Ku
Format: Artikel
Sprache:eng
Schlagworte:
Channels
Computer simulation
DFT-based channel estimation
Electronics
Estimators
Fourier transforms
Gain
Linear prediction
OFDM
Orthogonal Frequency Division Multiplexing
virtual carriers
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Beschreibung
Zusammenfassung:This letter addresses the edge effect on a windowed discrete Fourier transform (WDFT)-based channel estimator for orthogonal frequency division multiplexing (OFDM) systems with virtual carriers in non-sample spaced channels and derives a sufficient condition to reduce the edge effect. Moreover, a modified WDFT-based channel estimator with multi-step linear prediction as an edge effect reduction technique is proposed. Simulation results show that it offers around 5dB signal-to-noise ratio (SNR) gain over the conventional WDFT-based channel estimator at bit error rate (BER) of 10-3.
ISSN:0916-8508
1745-1337
1745-1337
DOI:10.1587/transfun.E93.A.1375