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Proceedings ArticleDOI

Polynomial perceptrons and their applications to fading channel equalization and co-channel interference suppression

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TLDR
Computer simulations show that the performance of FSBLP is clearly superior to that of the other structures, and applications of PP for fading channel equalization and co-channel interference suppression in a 16-level quadrature amplitude modulation receiver system are considered.
Abstract
The paper investigates the behaviours of polynomial perceptrons (PP) introduces a fractionally spaced recursive polynomial perceptron (FSRPP) with low complexity and fast convergence rate. The nonlinear mapping abilities of PP and FSRPP are analyzed. Applications of PP for fading channel equalization and co-channel interference (CCI) suppression in a 16-level quadrature amplitude modulation receiver system are considered. Computer simulations are used to evaluate and compare the performance of PP and fractionally spaced bilinear perceptron (FSBLP) with that of the synchronous decision feedback multilayer perceptron (SDFMLP), fractionally spaced decision feedback multilayer perceptron (FSDFMLP), and the conventional decision feedback equalizer (DFE). The results show that the performance of FSBLP is clearly superior to that of the other structures.

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Citations
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On theDevelopment ofaNew Adaptive Channel EqualizerusingBacterial Foraging Optimization Technique

Babita Majhi
TL;DR: A new adaptive channel equalizer is proposed using a novel bacterial foraging optimization (BFO) technique which is essentially a derivative free optimization tool and offers improved performance both in terms of rate of convergence as well as bit-error-rate.
Dissertation

Robust GMSK Demodulation Using Demodulator Diversity and BER Estimation

TL;DR: This research investigates robust demodulation of Gaussian Minimum Shift Keying (GMSK) signals, using demodulator diversity and real-time bit-error-rate (BER) estimation, and formally introduces the concept of demmodulator diversity, a new idea which consists of a bank of demodulators which simultaneously demodulate the same signal and take advantage of the redundancy in the similar signals.
Journal ArticleDOI

Fuzzy implementation of a Bayesian equaliser in the presence of intersymbol and co-channel interference

TL;DR: The optimal Bayesian decision feedback equaliser decision function is derived and an elegant fuzzy implementation of the optimal solution is proposed, able to provide performance close to the optimal equaliser with a substantial reduction in computational complexity.
Journal ArticleDOI

Adaptive near minimum error rate training for neural networks with application to multiuser detection in CDMA communication systems

TL;DR: In this article, a nonlinear adaptive near minimum error rate (NLBER) algorithm is proposed for training neural networks for CDMA multiuser detection in CDMA communication systems.
Dissertation

Development of Fuzzy System Based Channel Equalisers

TL;DR: Simulation studies presented in this thesis demonstrate that the fuzzy–CCI equaliser can effectively remove CCI without much increase in computational complexity.
References
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Journal ArticleDOI

Representations of non-linear systems: the NARMAX model

TL;DR: In this paper, it is shown that the NARMAX (Non-linear AutoRegressive Moving Average with eXogenous inputs) model is a general and natural representation of non-linear systems and contains, as special cases, several existing nonlinear models.
Journal ArticleDOI

The Stone-Weierstrass theorem and its application to neural networks

TL;DR: The Stone-Weierstrass theorem is reviewed, and a modified logistic network satisfying the theorem is proposed as an alternative to commonly used networks based on logistic squashing functions.
Journal ArticleDOI

Polynomial perceptrons and their applications to fading channel equalization and co-channel interference suppression

TL;DR: In this paper, a fractionally spaced recursive polynomial perceptron with low complexity and fast convergence rate was proposed for fading channel equalization and co-channel interference suppression in a 16-level quadrature amplitude modulation receiver system.
Proceedings ArticleDOI

Fractionally spaced decision feedback multilayer perceptron for adaptive MQAM digital mobile radio reception

TL;DR: The preliminary experimental results obtained are satisfactory, which shows that the FSDFMLP can perform more efficiently than the conventional least mean square based decision feedback filter in the presence of multipath fading of channels with non-Gaussian interferences.
Proceedings ArticleDOI

Complex neuron model with its applications to M-QAM data communications in the presence of co-channel interferences

TL;DR: Experimental results indicate that the CNNDFF can simultaneously overcome the performance degradations due to multipath fading of channels and reject the non-Gaussian cochannel interferences efficiently.
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