The main air interface in the 3rd generation cellular mobile communications is based on wideband code-division multiple-access (WCDMA). In this networks the downlink capacity is expected to be more crucial than the capacity of the uplink due to the asymmetric capacity requirements, i.e., the downlink direction should offer higher capacity than the uplink [1]. Therefore, the use of efficient dow...

This paper considers the problems of channel estimation and adaptive equalization in the novel framework of set-membership parameter estimation. Channel estimation using a class of set-membership identiication algorithms known as optimal bounding ellipsoid (OBE) algorithms and their extension to track time-varying channels are described. Simulation results show that the OBE channel estimators o...

Channel estimate based equalizers are those for which observations of the received signal are used to estimate the channel impulse response and possibly the statistics of the interfering noise field, and these estimates are used to calculate the equalizer filter coefficients. Channel estimate based decision feedback equalizers (CE-DFE), linear MMSE equalizers (L-MMSE), and Passive Time-Reversal...

Several contributions have recently shown that adaptive receivers based on Symbol-by-Symbol Maximum A Posteriori (SbS-MAP) equalizers are an attractive alternative to the more common ones based on Maximum Likelihood Sequence (MLS) detectors (see, e.g., [1,6]). However, these two equalizers present advantages that, if suitably exploited in a combined form, can be used to develop high performance...

In this work new Decision-Feedback (DF) Neural Equalizers (DFNE) are introduced and compared with classical DF equalizers and Viterbi demodulators. It is shown that the choice of an innovative cost functional based on the Discriminative Learning (DL) technique, coupled with a fast training paradigm, can provide neural equalizers that outperform standard DF equalizers (DFEs) at practical signal ...

A new and efficient class of nonlinear equalizers is developed for intersymbol interference (ISI) channels. These “iterated-decision equalizers” use an optimized multipass algorithm to successively cancel ISI from a block of received data and generate symbol decisions whose reliability increases monotonically with each iteration. These equalizers have an effective complexity comparable to the d...

Sparse multipath channels are wireless links commonly found in communication systems such asterrestrial broadcasting, underwater acoustic and cellular land mobile. Their impulse responses arecharacterized by a few significant multipath terms that are widely separated in time. With highspeed transmission, the length of a sampled sparse channel can reach hundreds of symbol intervals,<...