We consider the discrete-time Gaussian channel with inter-symbol interference (ISI). Under the assumption of perfect feedback, an information-theoretic derivation of the minimum mean-squared error (MMSE) decision-feedback equalizer (DFE) is presented. Whereas previous works have used information theory to analyze the zero-forcing and MMSE DFE structures, this work derives the MMSE DFE directly ...

This paper proposes a simple and efficient decision feedback equalizer (DFE) for Discrete Fourier Transform-Spread Orthogonal Frequency Division Multiplex (DFT-S OFDM) system in Evolved-Universal Telecommunication Radio Access (E-UTRA) [1] uplink transmission. Through cyclic detection and iteration, the new algorithm obtains a noticeable gain than conventional DFE, and is almost as effective as...

This paper addresses the problem of channel equalization and tracking in turbo coded signals over frequency selective fading and delay spread channels. An innovative turbo equalization structure is presented jointly with the iterative decoding process, which is based on performing channel equalization via double decision feedback equalizer (DDFE) designed by using noncomplex least mean square a...

This paper presents an innovative Non-Linear Receiver (NLR) for the high density optical channel. This receiver is based on the combination of Maximum Likelihood Sequence Estimation (MLSE) and nonlinear Inter-Symbol Interference (ISI) cancellation. For the nonlinear channel description a suitable model based on the Volterra series has been adopted. Simulation results show that the proposed NLR ...

A new type of Decision Feedback Equalizer (DFE) incorporating xed lag smoothing is developed in this paper. The structure is motivated by the remark that, if one makes full use of the dependence of the observed data on a given transmitted symbol, delayed decisions may produce better estimates of the symbol. The resulting equalizer structure takes the form of a linear system followed by a specia...

receiver. The channel disrupts the transmitted signal by spreading it in time. Although, the LMS algorithm is robust and reliable, it is slow in convergence. In order to increase the speed of convergence, modifications have been made in the algorithm where the weights get updated depending on the severity of disturbance.

The paper investigates adaptive equalization of timedispersive mobile ratio fading channels and develops a robust high performance Bayesian decision feedback equalizer (DFE). The characteristics and implementation aspects of this Bayesian DFE are analyzed, and its performance is compared with those of the conventional symbol or fractional spaced DFE and the maximum likelihood sequence estimator...

This paper presents a method for overcoming time-varying co-channel interference (CCI) using type-2 fuzzy adaptive filters (FAF). The type-2 FAF is realized using an unnormalized type-2 Takagi–Sugeno–Kang fuzzy logic system. A clustering method is used to adaptively design the parameters of the FAF. We use transversal equalizer and decision feedback equalizer structures to eliminate the CCI. Si...

In this work we assess performance of multiple-input multiple-output (MIMO) antenna systems with space-time processing over a frequency-selective channel in presence of time-dispersive co-channel interference. We evaluate the performance of the conventional MIMO-decision-feedback equalizer (MIMO-DFE) receiver and also propose a low complexity receiver, based on the decoupled interference cancel...

In signal equalization, a technique that allows reduction of the number of states of the Viterbi detector is the Delayed Decision Feedback Sequence Detector (DDFSD). In order to achieve good performance, it is crucial to operate an appropriate prefiltering of the received sequence before the DDFSD. This paper is devoted to performance evaluation of the DDFSD when the prefilter of a minimum mean...