Title :
Dynamic Effects of Signal Normalizing on Adaptive Algorithms
Author :
Symons, F.W., Jr. ; Sibul, L.H.
Author_Institution :
Applied Research Laboratory, The Pennsylvania State University, State College, PA 16801
Abstract :
A method is shown for suppressing the adaptive switching transient that arises in complex adaptive (LMS and stochastic approximation) algorithms due to signal normalization with controlled switched gains. The method involves rescaling of the adaptive weights with the normalizing gains just prior to the first adaptation with the new gains. In addition, an effective method of rescaling the adaptive gain factor based on the maximum eigenvalues of the respective covariance matrices is shown.
Keywords :
Adaptive algorithm; Adaptive control; Approximation algorithms; Covariance matrix; Least squares approximation; Programmable control; Sensor arrays; Signal processing; Signal processing algorithms; Stochastic processes;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1976.308351
