A time-domain SNR estimator based on a periodic preamble for wireless OFDM systems

Sekchin Chang; Brian Kelley

doi:10.1587/elex.8.2073

A time-domain SNR estimator based on a periodic preamble for wireless OFDM systems

Sekchin Chang, Brian Kelley

School of Electrical and Computer Engineering

University of Texas at San Antonio

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

6 Scopus citations

Abstract

A novel SNR estimator is presented for efficient estimation of SNR in wireless OFDM systems. Unlike the conventional SNR estimators, the proposed estimator calculates an SNR estimate in the time domain, which alleviates the usage of FFT. In addition, the SNR estimator effectively exploits a periodic feature of the OFDM preamble for accurate SNR estimation. Furthermore, the SNR estimator shows robustness to timing-offset. The simulation results indicate that the presented estimator is superior to the conventional SNR estimators in terms of NMSE in the case of imperfect synchronization under high frequency-selectivity channel.

Original language	English
Pages (from-to)	2073-2079
Number of pages	7
Journal	IEICE Electronics Express
Volume	8
Issue number	24
DOIs	https://doi.org/10.1587/elex.8.2073
State	Published - 25 Dec 2011

Keywords

OFDM
Preamble
SNR estimator

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10.1587/elex.8.2073

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abstract = "A novel SNR estimator is presented for efficient estimation of SNR in wireless OFDM systems. Unlike the conventional SNR estimators, the proposed estimator calculates an SNR estimate in the time domain, which alleviates the usage of FFT. In addition, the SNR estimator effectively exploits a periodic feature of the OFDM preamble for accurate SNR estimation. Furthermore, the SNR estimator shows robustness to timing-offset. The simulation results indicate that the presented estimator is superior to the conventional SNR estimators in terms of NMSE in the case of imperfect synchronization under high frequency-selectivity channel.",

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AU - Kelley, Brian

PY - 2011/12/25

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N2 - A novel SNR estimator is presented for efficient estimation of SNR in wireless OFDM systems. Unlike the conventional SNR estimators, the proposed estimator calculates an SNR estimate in the time domain, which alleviates the usage of FFT. In addition, the SNR estimator effectively exploits a periodic feature of the OFDM preamble for accurate SNR estimation. Furthermore, the SNR estimator shows robustness to timing-offset. The simulation results indicate that the presented estimator is superior to the conventional SNR estimators in terms of NMSE in the case of imperfect synchronization under high frequency-selectivity channel.

AB - A novel SNR estimator is presented for efficient estimation of SNR in wireless OFDM systems. Unlike the conventional SNR estimators, the proposed estimator calculates an SNR estimate in the time domain, which alleviates the usage of FFT. In addition, the SNR estimator effectively exploits a periodic feature of the OFDM preamble for accurate SNR estimation. Furthermore, the SNR estimator shows robustness to timing-offset. The simulation results indicate that the presented estimator is superior to the conventional SNR estimators in terms of NMSE in the case of imperfect synchronization under high frequency-selectivity channel.

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KW - Preamble

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A time-domain SNR estimator based on a periodic preamble for wireless OFDM systems

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Keywords

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