Title :
Use of the EM algorithm in impulsive noise channels
Author :
Zeghlache, D. ; Soliman, S.S.
Author_Institution :
Dept. of Electr. Eng., Cleveland State Univ., OH, USA
Abstract :
An adaptive detector which uses the EM algorithm (`E´ for expectation, `M´ for maximize likelihood) in nonGaussian noise environments is presented. It is shown that the adaptive detector is optimal for small signals and that it degrades smoothly toward the conventional linear detector as the signal-to-noise ratio increases. Performances of the EM algorithm and a CPFSK adaptive detector for Class A impulsive noise are reported
Keywords :
radiofrequency interference; signal detection; telecommunication channels; CPFSK adaptive detector; Class A impulsive noise; EM algorithm; adaptive detector; expectation; impulsive noise channels; linear detector; maximize likelihood; nonGaussian noise environments; small signals; Adaptive signal detection; Degradation; Detectors; Gaussian noise; Interference; Iterative algorithms; Noise level; Signal detection; Signal processing; Working environment noise;
Conference_Titel :
Vehicular Technology Conference, 1988, IEEE 38th
Conference_Location :
Philadelphia, PA
DOI :
10.1109/VETEC.1988.195426
