Title :
Signal detection with higher-order statistics
Author :
Chenyang, Yang ; Jianming, Qu ; Shaohong, Li ; Shiyi, Mao
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
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
Keywords :
Gaussian noise; higher order statistics; probability; signal detection; spectral analysis; stochastic processes; HOS; additive noise; deterministic signals; higher-order statistics; matched filter; non-Gaussian stochastic signals; signal detection; symmetrical probability density function; Additive noise; Colored noise; Gaussian noise; Higher order statistics; Nonlinear filters; Signal detection; Signal processing; Signal to noise ratio; Stochastic processes; Stochastic resonance;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567322
