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
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;
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
DOI :
10.1109/SSAP.1992.246821
