The SNR estimation and prediction for AFH/MSK system

Aihua Wang*, Shujing Yu

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The RTCE is one of the most important techniques in AFH systems. This paper shows a method of SNR estimation based on constant envelop of signals. And it also presents a method of SNR prediction based on Kalman filter. These two methods are combined as a way of RTCE. The simulation shows that it can be used in AFH/MSK systems to get SNR estimation and prediction in AWGN channel.

Original languageEnglish
Title of host publicationFuture Control and Automation - Proceedings of the 2nd International Conference on Future Control and Automation, ICFCA 2012
Pages317-324
Number of pages8
EditionVOL. 1
DOIs
Publication statusPublished - 2012
Event3rd International Symposium on Artificial Intelligence, JSAI-isAI 2011 - Takamatsu, Japan
Duration: 1 Dec 20112 Nov 2012

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume172 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Symposium on Artificial Intelligence, JSAI-isAI 2011
Country/TerritoryJapan
CityTakamatsu
Period1/12/112/11/12

Keywords

  • AFH
  • MSK
  • RTCE
  • SNR
  • constant envelope

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