A family of sub-optimal Bayesian equalizers is proposed in two versions: feed-forward and decision feedback. We show that this family of equalizers provides a range of gradual choices concerning the tradeoff between equalizer complexity and symbol error rate (SER). We also point out the SER equivalence between the simplest proposed structure (the simplest equalizer of the family) and Wiener lin...

This paper presents a performance comparison between a constrained least mean squared algorithm for MIMO CDMA decision feedback equalizer and linear equalizer. Both algorithms are constrained on the length of spreading sequence, number of users, variance of multiple access interference as well as additive white Gaussian noise (new constraint). An important feature of both algorithms is that mul...

The subject of this thesis is the original study of the application of the multi-layer perceptron architecture to channel equalization in digital communications systems. Both theoretical analyses and simulations were performed to explore the performance of the perceptron-based equalizer (including the decision feedback equalizer). Topics covered include the factors that affect performance of th...

A Bayesian solution is derived for digital communication channel equalization with decision feedback. This is an extension to the maximum a posteriori probability symbol-decision equalizer to include decision feedback. A novel scheme of utilizing decision feedback is proposed which not only improves equalization performance but also reduces computational complexity dramatically. It is shown tha...

A 10 Gb/s equalizer consisting of analog equalizer and two-tap halfrate decision feedback equalizer (DFE) in a 0.18μm CMOS has been designer. By employing capacitive degeneration and inductive peaking techniques, the analog equalizer achieves large boosting. The pipelined half-rate architecture is used to improve the transmitted data rate in DFE with a small increase in area. Measurement result...

A new optimized blind equalization algorithm for sparse underwater acoustic channel is proposed in this paper. The decision feedback equalizer is a common nonlinear equalizer to overcome the effect of noise in underwater acoustic communication. The decision feedback equalizer algorithm tracks the underwater acoustic channel change and utilizes the feedback information to adjust equalizer. The g...

The cost function of constant modulus algorithm (CMA) is simplified to meet second norm form, and the blind equalizer can use recurrent least squares (RLS) algorithm to update the weights. Considering the underwater acoustic channel is usually nonlinear, decision feedback equalizer is used as the blind equalizer. According to the simplified cost function of CMA, the weights of forward part and ...

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...