Title :
Interference cancellation using radial basis function networks
Author :
Cha, Inhyok ; Kassam, Saleem A.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
The radial basis function (RBF) network is investigated for its applicability in adaptive interference cancellation problems. Simulations show that the RBF network can be quite useful in this application. An extended structure that combines a linear canceller with an RBF network is shown to be more robust than the structure using an RBF network only
Keywords :
adaptive filters; feedforward neural nets; interference suppression; signal processing; adaptive interference cancellation; extended structure; linear canceller; radial basis function networks; simulations; Adaptive signal processing; Degradation; Interference cancellation; Least squares approximation; Radial basis function networks; Robustness; Signal processing algorithms; Stochastic processes; Vectors; Zinc;
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
DOI :
10.1109/SSAP.1992.246809
