ABSTRACT Previous work has shown that the optimum MSE causal equalizer is IIR, with a number of poles equal to the channel order. We investigate two different blind criteria for the adaptation of the recursive part of the equalizer: Output Variance Minimization (OVM) and a Pseudolinear Regression (PLR) method. In sufficient order cases both algorithms converge to the desired setting. In undermo...

This paper presents the problem of multiple quadrature amplitude modulated signals equalization and argues the use of a radial basis functions neural network (RBF-NN) equalizer. Different competitive learning algorithms for the RBF-NN centres determination are discussed. A new competitive learning algorithm is introduced, the rival penalized competitive learning, which rewards the winner and pe...

An ill-conditioned least squares (LS) problem has a solution which may be highly sensitive to small perturbations in the data. This 1,aper presents sensitivity results for the LS weight vector of an all-zero adaptive equalizer in an ill-conditioned signal environment. The ill-conditioned data results from severe amplitude distortion introduced by the data channel.. Specifically, a theoretical u...

A novel receiver is derived for Gaussianminimum shift keying (GMSK) signals through a multipath channel. A nonlinear signal model is derived which avoids the linear approximation in the conventional finite impulse response(FIR) system model. A Bayesian equalizer based on the Gibbs sampler, a Markov chain Monte Carlo (MCMC) procedure, is developed for joint channel estimation and symbol detectio...

|We evaluate the performance of indoor infrared wireless systems using ono keying code-division multiple-access (OOKCDMA) systems with three kinds of equalizers: decision-feedback equalizer (DFE), decisionfeedforward-and-feedback equalizer (DFFE), and feedforward equalizer (FE). To estimate the impulse response, we use the training sequence that alternates `1' and `0' sequentially. Among three ...

As an alternative to existing techniques and algorithms, we investigate the merit of the H∞ approach to the linear equalization of communication channels. We first give the formulation of all causal H∞ equalizers using the results of [1] and then look at the finite delay case. We compare the risk sensitive, H∞ equalizer with the MMSE equalizer with respect to both the average and the worst case...

In this contribution, a novel version of the reduced-state maximum a posteriori probability/decision-feedback (MAP/DF) equalizer for intersymbol interference channels with long impulse responses is presented. The main feature of the proposed equalizer is that the soft statistics generated by the MAP receiver are employed to recursively compute a suitable index of the actual reliability of the (...

In this paper, novel pipelined architectures for the implementation of the frequency domain linear equalizer are presented. The Frequency Domain (FD) LMS algorithm is utilized for the adaptation of equalizer coefficients. The pipelining of the FD LMS linear equalizer is achieved by introducing an amount of time delay into the original adaptive scheme, and following proper delay retiming. Simula...