Signal detection with higher-order statistics

A method for detecting deterministic or non-Gaussian stochastic signals in additive noise by applying higher-order statistics (HOS) is presented. This method is not sensitive to the color and the distribution of the noise. The only requirement is that the probability density function (pdf) of the no...

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Bibliographic Details
Published inProceedings of Third International Conference on Signal Processing (ICSP'96) Vol. 1; pp. 545 - 548 vol.1
Main Authors Yang Chenyang, Qu Jianming, Li Shaohong, Mao Shiyi
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Additive noise
Colored noise
Gaussian noise
Higher order statistics
Nonlinear filters
Signal detection
Signal processing
Signal to noise ratio
Stochastic processes
Stochastic resonance
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Summary:A method for detecting deterministic or non-Gaussian stochastic signals in additive noise by applying higher-order statistics (HOS) is presented. This method is not sensitive to the color and the distribution of the noise. The only requirement is that the probability density function (pdf) of the noise is symmetrical. If the waveform of the signal or the spectrum of the colored noise is unknown, the detection performance using a matched filter will be deteriorated, while the HOS method is relatively good.
ISBN:0780329120
9780780329126
DOI:10.1109/ICSIGP.1996.567322