SNR estimation for non-constant modulus constellations

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

9 Scopus citations

Abstract

We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations which is a feature not found in existing approaches. We also analyze the performance of our estimators for both PSK and non-PSK constellations by deriving their asymptotic variances and comparing with the Cramer-Rao Bounds (CRBs). Moreover, we discuss how the SNR estimates can be used to approximate the bit error rate (BER) and how the accuracy of the SNR estimate is related to that of the BER estimate, which justifies the necessity for the accurate estimation of SNR. The analytical performance is shown for both PSK and non-PSK constellations, such as 8QAM, and 16QAM. Monte Carlo simulation results corroborate our analysis.

Original languageEnglish (US)
Title of host publication2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
Pages24-29
Number of pages6
StatePublished - Sep 24 2004
Event2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 - Atlanta, GA, United States
Duration: Mar 21 2004Mar 25 2004

Publication series

Name2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
Volume1

Other

Other2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
CountryUnited States
CityAtlanta, GA
Period3/21/043/25/04

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Keywords

  • Non-constant modulus constellations
  • Non-data-aided estimators
  • SNR estimation

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Gao, P., & Tepedelenlioglu, C. (2004). SNR estimation for non-constant modulus constellations. In 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 (pp. 24-29). (2004 IEEE Wireless Communications and Networking Conference, WCNC 2004; Vol. 1).