Robust DFT based on adaptive censored estimate for FM signal processing in non-Gaussian noise environment

A problem of denoising frequency-modulated signals embedded in non-Gaussian noise by means of robust DFT is considered. The requirements for robust estimation implied within robust DFT denoising framework are formulated. It is shown that several standard robust estimators do not meet these requireme...

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Bibliographic Details
Published in2007 9th International Symposium on Signal Processing and Its Applications pp. 1 - 4
Main Authors Lukin, V.V., Roenko, A.A., Djurovic, I., Stankovic, L.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2007
Subjects
Adaptive signal processing
Frequency modulation
Gaussian noise
Information filtering
Information filters
Noise reduction
Noise robustness
Signal processing
Tail
Working environment noise
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Summary:A problem of denoising frequency-modulated signals embedded in non-Gaussian noise by means of robust DFT is considered. The requirements for robust estimation implied within robust DFT denoising framework are formulated. It is shown that several standard robust estimators do not meet these requirements well enough. A new adaptive robust estimator is proposed and tested. The robust DFT form based on the proposed estimator is compared to several known robust DFT-methods. Advantages of using the proposed adaptive censored estimator for the considered application are demonstrated via numerical experiments.
ISBN:9781424407781
1424407788
DOI:10.1109/ISSPA.2007.4555465