DocumentCode
1804905
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
Volume
1
fYear
1996
fDate
14-18 Oct 1996
Firstpage
545
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.567322
Filename
567322
Link To Document