Linear channel equalization has been a successful way to combat intersymbol interference (ISI) introduced by physical communication channels at high enough symbol rates. We consider the performance of least-squares equalizers in the single-input/multi-output (SIMO) channel context when the true channel is composed of an th-order significant part and tails of “small” leading and/or trailing term...

Design of Multi-Gb/s Multi-Coefficient Mixed-Signal Equalizers

Dissertation for the degree of Doctor of Science in Technology to be presented with due permission for public examination and debate in Auditorium T2 at Abstract New adaptive receiver structures are studied to allow a more eecient compensation of the disturbances of the communication channel. This study concentrates on the use of the Self-Organizing Map (SOM) algorithm as a building block of ne...

We investigate the potential of adaptive blind equalizers based on variational inference for carrier recovery in optical communications. These are a low-complexity approximation maximum likelihood channel estimation. generalize concept autoencoder (VAE) to higher order modulation formats encompassing probabilistic constellation shaping (PCS), ubiquitous communications, oversampling at receiver,...

The design of time-domain equalizers or TEQs for discrete multitone modulation (DMT) systems has recently received much attention. In this paper, we present a generalization of one such design method which takes into account the noise observed in a DMT channel. Furthermore, we show how this generalization can be used for the design of fractionally spaced equalizers or FSEs. Experimental results...

In order to gain insights on equalization design in the wireless mobile communication systems, we compare the performance of several multi-channel MLSE equalizers which adaptively track the fast-fading channels. Commonly-used channel tracking schemes, Decision-Directed Recursive Least Square (DD/RLS), Per-Survivor Processing Recursive Least Square (PSP/RLS) and other reduced-complexity MLSE alg...

We consider the problem of blind equalization of nonlinear channels from the second-order statistics of the channel output. The channel model is linear in the parameters, with additive terms that are nonlinear functions of the transmitted symbols. All previous approaches assume that the corresponding channel matrix has full column rank, which ensures the existence of linear FIR zero forcing equ...

We systematically analyze the biased and unbiased minimum mean square error (MMSE) equalizers of finite as well as infinite length, with and without decision feedback sections. New closed-form expressions of optimum equalizer weights, the MMSE, and symbol error probabilities (SEP), solely in terms of channel response parameters and noise power, are derived for the above receivers. These new exp...

In this paper, we consider a multi user multiple input multiple output (MU-MIMO) based cooperative reporting system for cognitive radio network. In the reporting network, the secondary users forward the primary user data to the common fusion center (FC). The FC is equipped with linear equalizers and an energy detector to make the decision about the spectrum. The primary user data are considered...

A switched-capacitor-based battery equalizer using level-shift circuits is proposed in this paper. In conventional equalizers using diode switches, the threshold voltage of diode switches causes a decrease in power efficiency. Unlike conventional equalizers, the proposed equalizer alleviates the threshold-voltage-drop of switches by using level-shift circuits. Therefore, the proposed equalizer ...