Title :
A finite-interval constant modulus algorithm
Author :
Regalia, Phillip A.
Author_Institution :
Department of Communications, Image and Information Processing, Institut National des Télécommunications, 9, rue Charles Fourier, 91011 Evry cedex France
Abstract :
A finite-interval constant modulus algorithm is developed which is vastly simpler than the Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a constant modulus criterion. It requires one QR decomposition of a data matrix, followed by a power iteration. Step size bounds which ensure monotonic convergence are obtained in analytic form, and proper tuning leads to an algorithm which converges typically within a few iterations. The algorithm thus gives a computationally feasible method for implementing constant modulus signal restoration in packet-based transmission systems.
Keywords :
Artificial neural networks; Lead;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745101