TCM decoding using neural networks

Kaminsky, Edit J.; Deshpande, Nikhil

doi:10.1016/s0952-1976(03)00066-6

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Neural Network Structure1

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2005

2021

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Cited by 5 publications

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“…They have been successfully used in many applications related to digital communication such as coding and decoding [7], equalization [2], etc. In [1] and [6], NN have been successfully used to identify and predistort high power amplifiers.…”

Section: Neural Network Structurementioning

confidence: 99%

Mitigation of Multipath Influence on Tracking Errors in LEO Navigation Applications

Abdulkader

Roviras²,

Chaggara³

et al. 2006

The 2006 IEEE International Joint Conference on Neural Network Proceedings

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This paper presents a solution to enhance the navigation of LEO satellites by mitigating the multipath influence. In several cases, Navigation of LEO satellites needs a very high accuracy in positioning, while GPS receivers suffer from leak of accuracy. As multipath is a major source of inaccuracy, we propose to use a neural networks (NN) technique in the range domain in order to estimate and compensate for Phase and code (delay) tracking errors. In this paper we present a rich discussion of the NN application in the range domain and the major factors influencing its performance.

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