Blind estimation of SNR based on logarithmic cross entropy

Ru Gui Yao, Yong Sheng Wang, Yong Ling Liang, Juan Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Considering the relationship between the extrinsic information of the decoder and the signal-to-noise ratio, we propose a blind estimation algorithm based on logarithmic cross entrophy. The simulation results show that the proposed blind estimation algorithm can greatly decrease the complexity of the channel estimator with little degradation of the performance. At last, the error performance of the algorithm is analyzed. From the deduction, it is concluded that the estimated SNR is credible for its extremely low error decision probability.

Original languageEnglish
Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages821-824
Number of pages4
StatePublished - 2005
Event2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China
Duration: 13 Dec 200516 Dec 2005

Publication series

NameProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Volume2005

Conference

Conference2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Country/TerritoryChina
CityHong Kong
Period13/12/0516/12/05

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