In this paper, the combination of equalization and turbo decoding is studied. In the iterative decoding of a product code in block turbo coding system, the equalization process is performed within the iteration loop. The present study aims to investigate the decision feedback equalizer (DFE) incorporated in the iterative decoding. Simulation results show that the more severe the channel interfe...

A general MMSE decision feedback equalizer (DFE) for multiple input-multiple output channels is presented. It is derived under the constraint of realizability, requiring finite smoothing lag and causal filters both in the forward and feedback link. The proposed DFE, which provides an optimal structure as well as optimal filter degrees, is obtained as an explicit solution in terms of the channel...

Decision Feedback Equalizers (DFEs) efficiently reduce the effect of Inter Symbol Interference (ISI). Their blind (or Decision-Directed) adaptation may converge to so-called degenerated solutions when signal at the equalizer output is independent of its input. One of the solution to this problem is to use Predictive Decision Feedback Equalizer (PDFE), another solution proposed consists in impos...

Decision feedback equalizers are commonly employed to reduce the error caused by intersymbol interference. Here, an adaptive decision feedback equalizer is presented with a new adaptation algorithm. The algorithm follows a block-based approach of normalized least mean square (NLMS) algorithm with set-membership filtering and achieves a significantly less computational complexity over its conven...

In this paper we have present performance analysis of different equalization techniques such as minimum mean– squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedback equalizer (DFE), LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In our simulation model we have consid...

We present an architecture of a high performance decision feedback equalizer based on a computation sharing multiplier. The computation sharing multiplier (CSHMR) uses a redundant number scheme and targets removal of computational redundancy by computation re-use. Use of CSHMR leads to high performance FIR filtering operation by re-using optimal precomputations. A decision feedback equalizer (D...

The noise predictive structure of DFE is attractive for the equalization of the coded modulation signals. In this paper, a blind predictive constant modulus (CM) decision feedback equalizer (PCM-DFE) is presented and analyzed. The PCM-DFE employs the CM linear equalizer as its forward lter and a feedback lter that optimizes the CM cost of the decision variable. It is shown that for any xed forw...

A novel noncoherent receiver for M{ary di erential phase shift{keying (MDPSK) signals transmitted over intersymbol interference (ISI) channels is presented. The noncoherent receiver consists of a linear equalizer and a decision{feedback di erential detector. A signi cant performance gain over a previously proposed noncoherent receiver can be observed. For an in nite number of feedback symbols, ...