Equalization of satellite UMTS channels using neural network devices | IEEE Conference Publication | IEEE Xplore

Equalization of satellite UMTS channels using neural network devices


Abstract:

The presence of nonlinear devices in several communication channels, such as satellite channels, causes distortions of the transmitted signal. These distortions are more ...Show More

Abstract:

The presence of nonlinear devices in several communication channels, such as satellite channels, causes distortions of the transmitted signal. These distortions are more severe for non-constant envelope modulations such as 16-QAM. Over the last years neural networks (NN) have emerged as competitive tools for linear and nonlinear channel equalization. However, their main drawback is often slow convergence speed which results in poor tracking capabilities. The present paper combines simple NN structures with conventional equalizers. The NN techniques are shown to efficiently approximate the optimal decision boundaries which results in good symbol error rate (SER) performance. The paper gives simulation examples (in the context of satellite mobile channels) and compares neural network approaches to classical equalization techniques.
Date of Conference: 15-19 March 1999
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-5041-3
Print ISSN: 1520-6149
Conference Location: Phoenix, AZ, USA

References

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