Title :
Signal detection by using higher order statistics
Author :
Lin, Peng ; Shiyi, Mao
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
The performance of a traditional energy-based detector relies finally on signal-to-noise ratio (SNR). To improve the detection performance of the weak non-Gaussian signal embedded in Gaussian noise, both the third order and the second order statistics of the observed data are used to construct a two-channel detector. The performance of the two-channel detector is significantly improved as long as the bispectrum of the observed data are sufficiently large
Keywords :
Gaussian noise; signal detection; statistics; Gaussian noise; SNR; bispectrum detection; detection performance; energy-based detection; higher order statistics; second order statistics; third-order statistics; two-channel detector; weak non-Gaussian signal; Colored noise; Density functional theory; Detectors; Gaussian noise; Gaussian processes; Higher order statistics; History; Maximum likelihood detection; Signal detection; Signal processing;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393681
