SNR estimation for nonconstant modulus constellations

Research output: Contribution to journalArticle

92 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 phase-shift keying (PSK) and non-PSK constellations by deriving their asymptotic variances and comparing with the Cramér-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 8 quadrature amplitude modulation (QAM) and 16 QAM. Monte Carlo simulation results corroborate our analysis.

Original languageEnglish (US)
Pages (from-to)865-870
Number of pages6
JournalIEEE Transactions on Signal Processing
Volume53
Issue number3
DOIs
StatePublished - Mar 1 2005

Keywords

  • Parameter estimation
  • SNR estimation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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