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IF estimation of linear FM signals corrupted by multiplicative and additive noise: a time-frequency approach

This paper presents a time-frequency approach for the estimation of the instantaneous frequency (IF) of a linear frequency modulated (FM) signal affected by multiplicative and additive white Gaussian noise. Contrary to earlier claims, we show that the Wigner-Ville spectrum (WVS) is optimal in the se...

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Main Authors: Barkat, B., Boashash, B.
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description This paper presents a time-frequency approach for the estimation of the instantaneous frequency (IF) of a linear frequency modulated (FM) signal affected by multiplicative and additive white Gaussian noise. Contrary to earlier claims, we show that the Wigner-Ville spectrum (WVS) is optimal in the sense of IF localisation for such signals and its peak is proposed as an IF estimator. We derive an analytical expression for the asymptotic variance for this estimator. Simulation results based on Monte-Carlo realisations illustrate and confirm the validity of the theoretical derivations and analysis.
doi_str_mv 10.1109/ICASSP.2000.859046
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ispartof 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.2, p.II661-II664 vol.2
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Additive noise
Amplitude modulation
Analysis of variance
Frequency estimation
Frequency modulation
Noise level
Phase noise
Signal analysis
Signal processing
Time frequency analysis
title IF estimation of linear FM signals corrupted by multiplicative and additive noise: a time-frequency approach
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