An investigation of non-data-aided SNR estimation techniques for analog modulation signals

Haifeng Xiao, Yun Q. Shi, Wei Su, John Kosinski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper investigates the non-data-aided SNR estimation techniques for analog modulation signals. Two existing algorithms, M2M4 and ED-based estimators, are modified and applied to SNR estimation for signals with analog modulation. This paper also proposes a simple but practical Spectrum-based SNR estimator for analog modulation. The performances of the three SNR estimators are compared and analyzed.

Original languageEnglish (US)
Title of host publication33rd IEEE Sarnoff Symposium 2010, Conference Proceedings
DOIs
StatePublished - Jun 29 2010
Event33rd IEEE Sarnoff Symposium 2010 - Princeton, NJ, United States
Duration: Apr 12 2010Apr 14 2010

Publication series

Name33rd IEEE Sarnoff Symposium 2010, Conference Proceedings

Other

Other33rd IEEE Sarnoff Symposium 2010
CountryUnited States
CityPrinceton, NJ
Period4/12/104/14/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Analog modulation signals
  • Non-data-aided (NDA) estimators
  • Signal-to-noise ratio (snr) estimation

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