A WDFT-based channel estimator with non-adaptive linear prediction in non-sample spaced channels

Jeong Wook Seo; Won Gi Jeon; Jong Ho Paik; Seok Pil Lee; Dong Ku Kim

doi:10.1587/transfun.E93.A.1375

A WDFT-based channel estimator with non-adaptive linear prediction in non-sample spaced channels

Jeong Wook Seo, Won Gi Jeon, Jong Ho Paik, Seok Pil Lee, Dong Ku Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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 5 dB signal-to-noise ratio (SNR) gain over the conventional WDFT-based channel estimator at bit error rate (BER) of 10-3.

Original language	English
Pages (from-to)	1375-1378
Number of pages	4
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E93-A
Issue number	7
DOIs	https://doi.org/10.1587/transfun.E93.A.1375
Publication status	Published - 2010 Jul

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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10.1587/transfun.E93.A.1375

Cite this

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title = "A WDFT-based channel estimator with non-adaptive linear prediction in non-sample spaced channels",

abstract = "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 5 dB signal-to-noise ratio (SNR) gain over the conventional WDFT-based channel estimator at bit error rate (BER) of 10-3.",

author = "Seo, {Jeong Wook} and Jeon, {Won Gi} and Paik, {Jong Ho} and Lee, {Seok Pil} and Kim, {Dong Ku}",

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language = "English",

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A WDFT-based channel estimator with non-adaptive linear prediction in non-sample spaced channels. / Seo, Jeong Wook; Jeon, Won Gi; Paik, Jong Ho; Lee, Seok Pil; Kim, Dong Ku.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E93-A, No. 7, 07.2010, p. 1375-1378.

Research output: Contribution to journal › Article › peer-review

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AU - Seo, Jeong Wook

AU - Jeon, Won Gi

AU - Paik, Jong Ho

AU - Lee, Seok Pil

AU - Kim, Dong Ku

PY - 2010/7

Y1 - 2010/7

N2 - 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 5 dB signal-to-noise ratio (SNR) gain over the conventional WDFT-based channel estimator at bit error rate (BER) of 10-3.

AB - 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 5 dB signal-to-noise ratio (SNR) gain over the conventional WDFT-based channel estimator at bit error rate (BER) of 10-3.

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A WDFT-based channel estimator with non-adaptive linear prediction in non-sample spaced channels

Abstract

All Science Journal Classification (ASJC) codes

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