SNR Estimation Based on Metric Normalization Frequency in Viterbi Decoder

Author

Shr, Kai-Ting ; Huang, Yuan-Hao

Author_Institution

Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan

Volume

15

Issue

6

fYear

2011

fDate

6/1/2011 12:00:00 AM

Firstpage

668

Lastpage

670

Abstract

Signal-to-noise (SNR) estimation plays an important role in modern wireless communication systems because an accurate SNR value can aid the improvement of transmission performance in various aspects. In this letter, we propose a estimation method of noise variance based on the normalization frequency of path metric in Viterbi decoder, and the channel gains are evaluated by the least squares estimation and the energy estimator. Then, we derive the SNR from the ratio of the estimated channel gain to the estimated noise variance. The simulation results show that the proposed algorithm can estimate SNR more accurately than previously published SNR estimators.

Keywords

Viterbi decoding; channel estimation; least squares approximations; radiocommunication; SNR estimation; Viterbi decoder; channel gain estimation; least square estimation; metric normalization frequency; noise variance estimation method; signal-to-noise estimation; wireless communication systems; Channel estimation; Decoding; Estimation; Measurement; Signal to noise ratio; Viterbi algorithm; SNR estimation; Viterbi decoder; energy estimator; least squares estimation; path metric normalization;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2011.040711.110028

Filename

5752794