A discrete-time method of demodulating large deviation FM signals

Andrew J. Noga; Tapan K. Sarkar

doi:10.1109/26.780455

A discrete-time method of demodulating large deviation FM signals

Andrew J. Noga, Tapan K. Sarkar

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

A method of enhancing the performance of a numerical FM discriminator in specific receive-signal conditions, using frequency feedback techniques, is developed and evaluated. Receive-signal conditions of interest are: 1) frequency deviations that are large relative to the bandwidth of the message signal; 2) a low-uniform (complex) sample rate commensurate with the bandwidth; and 3) noise strengths that yield values of input carrier-to-noise ratio of the order of 10 dB or more. Through computer simulation, observed phase cycle-slip counts and phase noise variance estimation are used to compare the enhanced demodulator to the performance of a numerical FM discriminator baseline. Based upon the theoretical analyses and simulation results, the presented method of numerical FM demodulation is shown to be a viable technique for enhancing the performance of numerical FM discriminators under the given modulation conditions.

Original language	English (US)
Pages (from-to)	1194-1200
Number of pages	7
Journal	IEEE Transactions on Communications
Volume	47
Issue number	8
DOIs	https://doi.org/10.1109/26.780455
State	Published - Aug 1999

Keywords

Discrete-time
Fm demodulation
Frequency feedback
Frequency modulation
Simulation

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/26.780455

Cite this

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AB - A method of enhancing the performance of a numerical FM discriminator in specific receive-signal conditions, using frequency feedback techniques, is developed and evaluated. Receive-signal conditions of interest are: 1) frequency deviations that are large relative to the bandwidth of the message signal; 2) a low-uniform (complex) sample rate commensurate with the bandwidth; and 3) noise strengths that yield values of input carrier-to-noise ratio of the order of 10 dB or more. Through computer simulation, observed phase cycle-slip counts and phase noise variance estimation are used to compare the enhanced demodulator to the performance of a numerical FM discriminator baseline. Based upon the theoretical analyses and simulation results, the presented method of numerical FM demodulation is shown to be a viable technique for enhancing the performance of numerical FM discriminators under the given modulation conditions.

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KW - Simulation

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A discrete-time method of demodulating large deviation FM signals

Abstract

Keywords

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