The estimation and HMM tracking of weak narrowband signals

Author

Quinn, B.G. ; Barrett, R.F. ; Searle, S.J.

Author_Institution

Mater. Res. Lab., Defence Sci. & Technol. Organ., Salisbury, SA, Australia

Volume

iv

fYear

1994

fDate

19-22 Apr 1994

Abstract

In low signal to noise regimes long time sequences are generally needed to estimate and track the frequency of a sinusoid accurately. In this paper, we propose and analyse techniques which use only the complex Fourier coefficients from fixed length time samples. The tracking technique is constructed under Markovian assumptions on the true frequency. The techniques are illustrated with Markovian and Doppler examples

Keywords

Doppler effect; fast Fourier transforms; frequency estimation; hidden Markov models; signal processing; tracking; Doppler examples; HMM tracking; Markovian assumptions; complex Fourier coefficients; estimation; fixed length time samples; long time sequences; low signal to noise regimes; sinusoid frequency; true frequency; weak narrowband signals; Adaptive systems; Australia; Frequency estimation; Hidden Markov models; Materials science and technology; Narrowband; Noise robustness; Phase estimation; Signal to noise ratio; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389810

Filename

389810