New algorithm for blind adaptive equalization based on constant modulus criterion

Constant modulus (CM) based algorithms for blind channel equalization is well known for their effectiveness and simplicity. Recently, new CM-based equalization algorithms with improved performance have been proposed. In this paper, a new blind adaptive CM equalization algorithm using a quasi-Newton optimization method is proposed. Simulation results are presented which demonstrate that the proposed algorithm leads to an improved convergence rate as well as reduced computational complexity relative to those of some existing algorithms.

[1]  José Carlos Príncipe,et al.  Fast algorithm for adaptive blind equalization using order-α Renyi's entropy , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Philip Schniter,et al.  Blind equalization using the constant modulus criterion: a review , 1998, Proc. IEEE.

[3]  R. Pickholtz,et al.  The recursive constant modulus algorithm; a new approach for real-time array processing , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[4]  R. Fletcher.  Practical Methods of Optimization , 1988 .

[5]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[6]  C. Johnson,et al.  Observed misconvergence in the constant modulus adaptive algorithm , 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

[7]  J. Treichler,et al.  A new approach to multipath correction of constant modulus signals , 1983 .

[8]  John G. Proakis,et al.  Digital Communications , 1983 .