Title :
Adaptively combined LMS and logistic equalizers
Author :
Martinez-Ramón, Manel ; Artés-Rodriguez, Antonio ; Navia-Vázquez, Ángel ; Figueiras-Vidal, Anibal R.
Author_Institution :
Dept. of Signal Theor. & Commun., Univ. Carlos de Madrid, Spain
Abstract :
An adaptive, convex linear combination of the outputs of a standard least mean square (LMS) equalizer and a sigmoidal equalizer is proposed. This procedure results in improving the speed of the LMS equalizer while retaining the low steady-state error of the sigmoidal filter. Appropriate adaption schemes for both of the filters and for the combination parameters are established. Simulations of practical communication applications demonstrate the effectiveness of this adaptive combination.
Keywords :
adaptive equalisers; adaptive filters; least mean squares methods; adaption scheme; adaptive convex linear combination; adaptively combined LMS; communication application; logistic equalizer; low steady-state error; nonlinear equaliser; sigmoidal equalizer; sigmoidal filter; standard least mean square equalizer; Adaptive equalizers; Adaptive signal processing; Bit error rate; Convergence; Decision feedback equalizers; Finite impulse response filter; Least squares approximation; Logistics; Signal processing algorithms; Steady-state; Adaptive; equalization; least mean square; logistic; nonlinear;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.835460
