Integrated FFT-Based Interpolation Frequency Estimator and its Application to Feature Extraction of FM Signal

Feature extraction of FM signal is the first and most important step in modern automatic communication signal recognition. Based on the real-world collected FM signal, a systematic method for feature extraction of FM signal is presented after an intensive experiment modeling analysis, which includes...

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Bibliographic Details
Main Authors: Huang, Yuchun, Huang, Zailu, Huang, Benxiong, Xu, Shuhua
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Electronic warfare
Feature extraction
Fingerprint recognition
Frequency estimation
Frequency modulation
Interpolation
Military computing
Parameter estimation
Stochastic resonance
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Summary:Feature extraction of FM signal is the first and most important step in modern automatic communication signal recognition. Based on the real-world collected FM signal, a systematic method for feature extraction of FM signal is presented after an intensive experiment modeling analysis, which includes Hilbert Transform and the key single-tone parameter estimation technique-integrated FFT-based interpolation frequency estimator (IIFE) by integrating the contribution of more FFT coefficients than traditional FFT-based estimators in the frequency estimation of single tone through a novel normalized frequency offset estimation model and maximum likelihood estimation. Computer Monte-Carlo simulations show the proposed IIFE outperforms traditional FFT-based ones with little addition of computation time, which is very effective in its application to feature extraction of FM signal.
ISSN:2161-9646
DOI:10.1109/WICOM.2007.305