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Proceedings Paper

Fast fine-frequency demodulation with wavelets
Author(s): Anthony Teolis
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Paper Abstract

This paper addresses the issue of extracting fine-frequency modulation laws from narrow-band pulsed signals and provides a fast and efficient wavelet-based scheme for their extraction. Two distinct methods of frequency demodulation are analyzed: first, is standard direct extraction using the arctangent function and second, is estimation via wavelet transform ridges. The first method is predominant in applications because implementation is straightforward and computational complexity is small; however, such direct estimates have leading edge and trailing edge variability and are very sensitive to noise. The second wavelet-based method is shown to be robust to noise and provide crisp estimates of all modulation components in a signal. Both methods are numerically implemented in MATLAB and results are compared on a set of signals of interest. As compared to conventional direct estimation, this approach is shown to provide many benefits including noise robustness, estimate leading and trailing edge consistency, and pulse-to-pulse low variation.

Paper Details

Date Published: 22 March 1999
PDF: 12 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342939
Show Author Affiliations
Anthony Teolis, AIMS, Inc. and Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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