An efficient SNR estimate scheme for a turbo decoder over quasi-static channels

Chen Yi Wang; Po-Ning Chen; Wei Ting Chen; Shin Lin Shieh; Yunghsiang S. Han

An efficient SNR estimate scheme for a turbo decoder over quasi-static channels

Chen Yi Wang^*, Po-Ning Chen, Wei Ting Chen, Shin Lin Shieh, Yunghsiang S. Han

^*Corresponding author for this work

Department of Electrical and Computer Engineering

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

Abstract

The performance of the Log-MAP turbo decoders relies heavily on the accurate knowledge of the channel signal-to-noise ratio (SNR) characteristics. Several SNR estimate schemes that are based on the second-order statistics of the received vectors were accordingly proposed in literatures. In this paper, we present an alternative SNR estimate scheme that requires only the first-order statistics and hence is much less complex and more efficient. Theoretical analysis on the estimate accuracy based on the Independent Gaussian Assumption is also provided, and is subsequently examined by simulations. Our results indicate that the proposed efficient channel SNR estimate can yield a comparable system performance with much less computational effort than the existing channel SNR estimate schemes.

Original language	American English
Pages (from-to)	261-268
Number of pages	8
Journal	International Journal of Electrical Engineering
Volume	15
Issue number	4
State	Published - 1 Aug 2008

Keywords

Channel estimation
Low complexity
Turbo code

Cite this

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abstract = "The performance of the Log-MAP turbo decoders relies heavily on the accurate knowledge of the channel signal-to-noise ratio (SNR) characteristics. Several SNR estimate schemes that are based on the second-order statistics of the received vectors were accordingly proposed in literatures. In this paper, we present an alternative SNR estimate scheme that requires only the first-order statistics and hence is much less complex and more efficient. Theoretical analysis on the estimate accuracy based on the Independent Gaussian Assumption is also provided, and is subsequently examined by simulations. Our results indicate that the proposed efficient channel SNR estimate can yield a comparable system performance with much less computational effort than the existing channel SNR estimate schemes.",

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author = "Wang, {Chen Yi} and Po-Ning Chen and Chen, {Wei Ting} and Shieh, {Shin Lin} and Han, {Yunghsiang S.}",

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AU - Wang, Chen Yi

AU - Chen, Po-Ning

AU - Chen, Wei Ting

AU - Shieh, Shin Lin

AU - Han, Yunghsiang S.

PY - 2008/8/1

Y1 - 2008/8/1

N2 - The performance of the Log-MAP turbo decoders relies heavily on the accurate knowledge of the channel signal-to-noise ratio (SNR) characteristics. Several SNR estimate schemes that are based on the second-order statistics of the received vectors were accordingly proposed in literatures. In this paper, we present an alternative SNR estimate scheme that requires only the first-order statistics and hence is much less complex and more efficient. Theoretical analysis on the estimate accuracy based on the Independent Gaussian Assumption is also provided, and is subsequently examined by simulations. Our results indicate that the proposed efficient channel SNR estimate can yield a comparable system performance with much less computational effort than the existing channel SNR estimate schemes.

AB - The performance of the Log-MAP turbo decoders relies heavily on the accurate knowledge of the channel signal-to-noise ratio (SNR) characteristics. Several SNR estimate schemes that are based on the second-order statistics of the received vectors were accordingly proposed in literatures. In this paper, we present an alternative SNR estimate scheme that requires only the first-order statistics and hence is much less complex and more efficient. Theoretical analysis on the estimate accuracy based on the Independent Gaussian Assumption is also provided, and is subsequently examined by simulations. Our results indicate that the proposed efficient channel SNR estimate can yield a comparable system performance with much less computational effort than the existing channel SNR estimate schemes.

KW - Channel estimation

KW - Low complexity

KW - Turbo code

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JO - International Journal of Electrical Engineering

JF - International Journal of Electrical Engineering

IS - 4

ER -

An efficient SNR estimate scheme for a turbo decoder over quasi-static channels

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