Instantaneous Extraction of Frequency Components of the FM Signals by Time Domain Processing and Its Applications

ABSTRACT This paper investigates the momentary extraction of a part of the frequency components of the signal resulting from the frequency modulation process. Based on this analysis, a new method for extracting frequency information is proposed. The changes of the instantaneous periods of the FM signal are investigated, and a simple method to determine the instantaneous frequency of the signal in the time domain is proposed. The proposed method was evaluated through simulations and compared against conventional FM demodulation techniques. In similar SNR, the relative error power of the proposed method is approximately 2 dB less than other conventional types of FM demodulators.

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Publication Details

Journal
IET Communications
Published
2025-01-01
DOI
https://doi.org/10.1049/cmu2.70070
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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0.00
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article

Instantaneous Extraction of Frequency Components of the FM Signals by Time Domain Processing and Its Applications

Mohsen Mivehchy, Roza Banitalebi Dehkordi
IET Communications
Machine Fault Diagnosis Techniques
article

Instantaneous Extraction of Frequency Components of the FM Signals by Time Domain Processing and Its Applications

Mohsen Mivehchy, Roza Banitalebi Dehkordi
article en

Abstract

ABSTRACT This paper investigates the momentary extraction of a part of the frequency components of the signal resulting from the frequency modulation process. Based on this analysis, a new method for extracting frequency information is proposed. The changes of the instantaneous periods of the FM signal are investigated, and a simple method to determine the instantaneous frequency of the signal in the time domain is proposed. The proposed method was evaluated through simulations and compared against conventional FM demodulation techniques. In similar SNR, the relative error power of the proposed method is approximately 2 dB less than other conventional types of FM demodulators.

IET CommunicationsVol. 19(1)
University of Isfahan (IR)
Openalex Percentile: Top 78%
Machine Fault Diagnosis Techniques
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