A Hybrid Phase-based Single Frequency Estimator

Zhuo Zhang, Andreas Jakobsson, Malcolm Macleod, Jonathon Chambers

Research output: Contribution to journalLetterpeer-review

Abstract

The topic of low computational complexity frequency estimation of a single complex sinusoid corrupted by additive white Gaussian noise has received significant attention over the last decades due to the wide applicability of such estimators in a variety of fields. In this letter, we propose a computationally fast and statistically improved hybrid phase-based estimator that outperforms other recently proposed approaches, lowering the signal-to-noise ratio at which the Cramer-Rao lower bound is closely followed.
Original languageEnglish
Pages (from-to)657-660
JournalIEEE Signal Processing Letters
Volume12
Issue number9
DOIs
Publication statusPublished - 2005
Externally publishedYes

Subject classification (UKÄ)

  • Probability Theory and Statistics

Free keywords

  • classification theory and methods
  • computation
  • detection
  • estimation
  • fast algorithms
  • transforms
  • PERFORMANCE
  • THRESHOLD

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