Low bias frequency domain SNR estimator using DCT in mobile fading channels

Sungtae Kim; Hyunkyu Yu; Jemin Lee; Daesik Hong

doi:10.1109/T-WC.2009.071386

Low bias frequency domain SNR estimator using DCT in mobile fading channels

Sungtae Kim, Hyunkyu Yu, Jemin Lee, Daesik Hong

Department of Electrical and Electronic Engineering

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

11 Citations (Scopus)

Abstract

The authors analyze the cause of bias in a fast Fourier transform (FFT)-based frequency domain signal-to-noise ratio (SNR) estimator by deriving the upper bound of the bias. The analysis is then used to propose a new frequency domain estimator using discrete cosine transform (DCT), which has lower bias. In addition, a criterion is proposed for use when maximum Doppler frequency information is available; it is based on the derived upper bound and can be used to improve the mean squared error (MSE) performance of the proposed DCT-based estimator. Simulation results show that the proposed estimator reduces the MSE remarkably by diminishing the bias.

Original language	English
Article number	4786478
Pages (from-to)	45-50
Number of pages	6
Journal	IEEE Transactions on Wireless Communications
Volume	8
Issue number	1
DOIs	https://doi.org/10.1109/T-WC.2009.071386
Publication status	Published - 2009 Jan

Bibliographical note

Funding Information:
This paper was presented in part at the IEEE 63rd Vehicular Technology Conference, Melbourne, Australia, May 2006. This work was supported by Korea Science and Engineering Foundation through the NRL Program (Grant R0A-2007-000-20043-0). This research was supported by the Ministry of Knowledge Economy, Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment) (IITA-2008-C1090-0803-0002). Digital Object Identifier 10.1109/T-WC.2009.071386.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/T-WC.2009.071386

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abstract = "The authors analyze the cause of bias in a fast Fourier transform (FFT)-based frequency domain signal-to-noise ratio (SNR) estimator by deriving the upper bound of the bias. The analysis is then used to propose a new frequency domain estimator using discrete cosine transform (DCT), which has lower bias. In addition, a criterion is proposed for use when maximum Doppler frequency information is available; it is based on the derived upper bound and can be used to improve the mean squared error (MSE) performance of the proposed DCT-based estimator. Simulation results show that the proposed estimator reduces the MSE remarkably by diminishing the bias.",

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AB - The authors analyze the cause of bias in a fast Fourier transform (FFT)-based frequency domain signal-to-noise ratio (SNR) estimator by deriving the upper bound of the bias. The analysis is then used to propose a new frequency domain estimator using discrete cosine transform (DCT), which has lower bias. In addition, a criterion is proposed for use when maximum Doppler frequency information is available; it is based on the derived upper bound and can be used to improve the mean squared error (MSE) performance of the proposed DCT-based estimator. Simulation results show that the proposed estimator reduces the MSE remarkably by diminishing the bias.

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Low bias frequency domain SNR estimator using DCT in mobile fading channels

Abstract

Bibliographical note

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