Title :
A partitioned adaptive approach to nonlinear channel equalization
Author :
Lainiotis, Demetrios G. ; Papaparaskeva, Paraskevas
Author_Institution :
14 Ammohostou St., Patras, Greece
fDate :
10/1/1998 12:00:00 AM
Abstract :
The problem of identifying digital transmitted symbols over nonlinear communication channels is addressed. The equalization scenario is considered from the decision point of view, and constitutes a joint identification and estimation situation due to incomplete knowledge of the system model. A new class of multilinearization algorithms for nonlinear systems is derived according to partitioning theory concepts. The procedure targets on adaptively selecting the best reference points for linearization from an ensemble of generated trajectories that span the whole state space of the desired signal. In the various simulations examined, the partitioned-based equalizer is found superior to the classical extended Kalman filter
Keywords :
adaptive equalisers; decision theory; identification; linearisation techniques; state-space methods; telecommunication channels; digital transmitted symbols identification; estimation; extended Kalman filter; generated trajectories; incomplete knowledge; joint identification; multilinearization algorithms; nonlinear channel equalization; nonlinear communication channels; nonlinear systems; partitioned adaptive approach; partitioned-based equalizer; partitioning theory; reference points selection; simulations; state space; system model; Adaptive equalizers; Adaptive filters; Communication channels; Decision feedback equalizers; Filtering algorithms; Maximum likelihood estimation; Nonlinear systems; Partitioning algorithms; Signal generators; Trajectory;
Journal_Title :
Communications, IEEE Transactions on
