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Title: An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel, Journal of Telecommunications and Information Technology, 2018, nr 4

Creator:

Saidi, Lamir ; Bouguerra, Fateh

Date:

2018, nr 4

Resource Type:

artykuł

Description:

High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network’s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2060

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

adaptive filter MLP RBF symbol decision making M-QAM channel equalization

Object collections:

Last modified:

Apr 15, 2019

In our library since:

Feb 4, 2019

Number of object content hits:

70

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2347

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Edition name Date
Bouguerra Fateh; Saidi Lamir, An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel, Journal of Telecommunications and Information Technology, 2018, nr 4 Apr 15, 2019

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