Title :
Adaptive phase shifting in FIR filters with application to equalizers
Author_Institution :
AT&T Bell Labs., Holmdel, NJ, USA
Abstract :
A method for phase-adaptation in FIR filters is introduced and applied to fractionally-spaced equalizers. The technique removes the need of a high-precision rotator-derotator pair when training a blind equalizer with the constant modulus algorithm (CMA). The phase-correcting CMA (PCMA) provides an equalizer with the same convergence reliability as the CMA and the hardware cost comparable to the reduced constellation algorithm (RCA). The technique can also be used to avoid the most common cases of ill-convergence in the RCA.
Keywords :
FIR filters; adaptive equalisers; adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; least mean squares methods; CMA; FIR filters; LMS algorithm; PCMA; adaptive phase shifting; constant modulus algorithm; convergence reliability; fractionally-spaced equalizers; hardware cost; phase-adaptation; phase-correcting CMA; reduced constellation algorithm; training; Adaptive equalizers; Adaptive filters; Blind equalizers; Convergence; Delay; Finite impulse response filter; Least squares approximation; Steady-state; Switches; Terminology;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.679184