Abstract: Neural Networks can be used to estimate the a posteriori probabilities of the transmitted symbols in digital communication systems.
... non ... BER estimation in reception is essential to evaluate the communication performance in real time, and to detect wrong training cases in adaptive equalizers ...
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When a digital equalizer computes the posterior probabilities of transmitted symbols, the bit error rate (BER) of the receiver can be estimated in-service, ...
A low-complexity absolute-term based nonlinear feed-forward equalizer (FFE) combined with a decision-feedback equalizer (DFE) with weight sharing (AT-NLE-WS) is ...
[PDF] Comparison of Linear and Non-Linear Equalizer using the ...
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In this paper, we compare the BER performance, burst error performance and the signal power spectrum of different types of equalizer using the MATLAB simulation ...
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This paper proposes a new method for the estimation of the bit-error-rate (BER) in the output of blind equalizers, which.
We present a novel and simple to implement nonlinear equalization approach based on a minimum mean-square-error criterion. We use a quadratic equalizer whose ...
In general, blind equalization directs the coefficient adaptation process towards the optimal filter parameters even when the initial error rate is large. For ...
Feb 15, 2011 · In this paper, a set of mathematical transformations is developed to obtain the nonlinear function that recovers the Gaussian statistics ...
Aug 7, 2024 · In the TC-NL-MLSE, we introduce a polynomial nonlinear filter (PNLF) to partly compensate both the linear distortions and nonlinear distortions.