This paper presents a new algorithm for the nonlinear distortion cancellation and channel re-estimation in an iterative manner for the OFDM transmission systems. Whereas in practical OFDM systems, where nonlinear amplifiers are used in the transmitter, data as well as pilot symbols are nonlinearly distorted. As perfect channel state information is often assumed in many papers, the effect of the...

This paper considers the nonlinear systems modeling problem for control. A structured nonlinear parameter optimization method (SNPOM) adapted to radial basis function (RBF) networks and an RBF network-style coefficients autoregressive model with exogenous variable model parameter estimation is presented. This is an off-line nonlinear model parameter optimization method, depending partly on the ...

In this paper we present an approximation framework and theoretical convergence results for a class of parameter estimation problems for general abstract nonlinear hyperbolic systems. These systems include as a special case those modeling a large class of nonlinear elastomers.

In this paper, we consider the state estimation problem for flexible joint manipulators that involve nonlinear characteristics in their stiffness. The two key ideas of our design are that (a) an accelerometer is used in order that the estimation error dynamics do not depend on nonlinearities at the link part of the manipulators and (b) the model of the nonlinear stiffness is indeed a Lipschitz ...

Most of the existing parameter estimation methods require much auxiliary information and is not easy to handle for practical applications. In this paper , we use genetic algorithms, which are becoming an important tool for optimization problems, to estimate parameters in nonlinear regression models. The computational experiments indicate that this genetic based method is useful, eeective and ad...