DocumentCode :
1056079
Title :
Frequency tracking using hidden Markov models with amplitude and phase information
Author :
Barrett, Ross F. ; Holdsworth, David A.
Author_Institution :
Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Volume :
41
Issue :
10
fYear :
1993
fDate :
10/1/1993 12:00:00 AM
Firstpage :
2965
Lastpage :
2976
Abstract :
It is demonstrated how the hidden Markov model (HMM) frequency tracker can be extended by the addition of amplitude and phase information. The HMM tracker as originally formulated uses a gate of spectral bins from fast Fourier transform (FFT) processing, and associates each cell with a state of the hidden Markov chain. A measurement sequence based on the output of a simple threshold detector forms the input to the HMM tracker. Two extensions to the original tracker are proposed. The first, the HMM/A tracker, incorporates the FFT amplitudes in the cells of the measurement sequence. The second, the HMM/AP tracker, does not use a measurement sequence, but uses instead the FFT amplitude and phase values in all cells within the gate. A comparison of the results obtained in using the three HMM-based trackers with simulated data reveals that the extended trackers outperform the original. An analysis of the effect of parameter mismatch for the three trackers is presented. Their use as detectors is also discussed
Keywords :
fast Fourier transforms; hidden Markov models; signal detection; signal processing; FFT amplitude; FFT phase; HMM tracker; HMM/A tracker; HMM/AP tracker; amplitude information; fast Fourier transform; frequency tracking; gate of spectral bins; hidden Markov models; parameter mismatch; phase information; threshold detector; Background noise; Detectors; Frequency conversion; Frequency estimation; Helium; Hidden Markov models; Phase measurement; Random variables; Signal processing algorithms; Speech processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.277803
Filename :
277803
Link To Document :
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