Title :
Adaptive algorithms for channel equalization with soft decision feedback
Author :
Kim, Young-Hoon ; Shamsunder, Sanyogita
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
fDate :
12/1/1998 12:00:00 AM
Abstract :
A new approach based on joint entropy maximization (JEM) is taken and adaptive algorithms are developed for channel equalization with a decision feedback equalizer (DFE). The proposed work generalizes the existing algorithms for DFE with a hard decision device. Previous research has shown that when the hard decisions in a DFE are replaced with soft decisions, the performance of the adaptive algorithms [e.g., minimum mean square error (MMSE)] improves dramatically. The soft decisions can be introduced naturally via the viewpoint taken here. Additionally, constant modulus and other (blind) algorithms for DFE with soft decisions can be derived from this JEM approach
Keywords :
adaptive equalisers; blind equalisers; convergence of numerical methods; decision feedback equalisers; least mean squares methods; maximum entropy methods; telecommunication channels; DFE; MMSE; adaptive algorithms; algorithms; blind algorithms; channel equalization; constant modulus algorithms; convergence analysis; decision feedback equalizer; hard decision device; joint entropy maximization; minimum mean square error; soft decision feedback; Adaptive algorithm; Adaptive equalizers; Computer errors; Decision feedback equalizers; Entropy; Intersymbol interference; Mean square error methods; Multimedia systems; Signal processing; Signal processing algorithms;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
