University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Attraction of saddles and slow convergence in CMA adaptation

Lambotharan, S, Chambers, J and Johnson, CR (1997) Attraction of saddles and slow convergence in CMA adaptation Signal Processing, 59 (3). pp. 335-340.

Full text not available from this repository.


We show that the most widely used blind equalization algorithm, the constant modulus algorithm, CMA, can be attracted during one convergence trajectory to the vicinity of more than one of the saddles in its error performance surface where it exhibits very slow convergence. We also establish bounds on the attraction and escape rates at a saddle and show that the saddles associated with lower energy levels have slower escape rates than the saddles with higher energy levels. These results highlight the need for intelligent initialization schemes for the CMA algorithm. We suggest a step normalisation technique to improve convergence speed in the vicinity of a saddle. © 1997 Elsevier Science B.V.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Lambotharan, S
Johnson, CR
Date : 1 June 1997
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:27
Last Modified : 24 Jan 2020 23:58

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800