Title :
Adaptive locally optimal detectors for CPFSK in non-Gaussian noise
Author :
Zeghlache, D. ; Soliman, S.S.
Author_Institution :
Southern Methodist University, Dallas, Texas
Abstract :
Performance of adaptive locally optimal Bayes´ detectors (LOBD) for detecting Continuous Phase Frequency Shift Keyed (CPFSK) signals in impulsive non-Gaussian noise is investigated. Two models are used to characterize the noise process, the Johnson Su system of densities and a mixture of normals model. Analytic estimation of performance along with simulation results illustrate the robustness of these adaptive schemes.
Keywords :
Adaptive signal detection; Additive noise; Analytical models; Detectors; Electromagnetic interference; Gaussian noise; Noise robustness; Performance analysis; Phase detection; Working environment noise;
Conference_Titel :
Vehicular Technology Conference, 1987. 37th IEEE
DOI :
10.1109/VTC.1987.1623556
