DocumentCode
3382108
Title
On the performance of cumulant-based detection of nonGaussian signals
Author
Friedlander, Benjamin ; Porat, Boaz
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fYear
1992
fDate
7-9 Oct 1992
Firstpage
173
Lastpage
176
Abstract
Detection of a non-Gaussian signal in additive Gaussian noise is assumed to be done in two steps. A selected set of sample cumulants and/or moments of the data are computed; next a detection statistic based on these sample moments/cumulants is evaluated. The paper outlines the asymptotic performance analysis of this detector for a fairly general class of signal and noise models. A simple example is worked out in detail
Keywords
random noise; signal detection; statistical analysis; additive Gaussian noise; asymptotic performance analysis; detection statistic; higher order statistics; nonGaussian signals; sample cumulants; sample moments; signal detection; Additive noise; Detectors; Gaussian noise; Higher order statistics; Performance analysis; Probability density function; Random processes; Signal detection; Signal processing; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246821
Filename
246821
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