Improved instantaneous frequency estimation using an adaptive short-time Fourier transform

Henry K. Kwok, Douglas L. Jones

Research output: Contribution to journalArticlepeer-review

Abstract

Instantaneous frequency estimation (IFE) arises in a variety of important applications, including FM demodulation. We present here a new time-frequency representation (TFR)-based approach to IFE based on an adaptive short-time Fourier transform (ASTFT). This TFR leads naturally to a type of short-term ML estimator of the IF. To further improve the performance, we apply a multistate hidden Markov model (HMM)-based post-estimation tracker. The end result is up to a 16-dB reduction in the threshold SNR over the frequency discriminator (FD) and an 8-dB improvement over phase-locked loop (PLL) for a Rayleigh fading channel.

Original languageEnglish (US)
Pages (from-to)2964-2972
Number of pages9
JournalIEEE Transactions on Signal Processing
Volume48
Issue number10
DOIs
StatePublished - Oct 2000

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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