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

Author

Kwok, Henry K. ; Jones, Douglas L.

Author_Institution

Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA

Volume

48

Issue

10

fYear

2000

fDate

10/1/2000 12:00:00 AM

Firstpage

2964

Lastpage

2972

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 the phase-locked loop (PLL) for a Rayleigh fading channel

Keywords

Fourier transforms; Rayleigh channels; demodulation; frequency estimation; hidden Markov models; maximum likelihood estimation; signal representation; time-frequency analysis; FM demodulation; HMM-based post-estimation tracker; ML estimator; PLL; Rayleigh fading channel; adaptive short-time Fourier transform; frequency discriminator; instantaneous frequency estimation; multistate hidden Markov model; phase-locked loop; threshold SNR; time-frequency representation-based approach; Demodulation; Fading; Fourier transforms; Frequency estimation; Frequency modulation; Hidden Markov models; Maximum likelihood estimation; Phase estimation; Phase locked loops; RF signals;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.869059

Filename

869059