Aquisição de frequência em sinais de satélites de baixa órbita por meio do critério da máxima correntropia
Low-earth orbit (LEO) satellites move at very high speeds and can circumscribe the planet several times in a single day. These high dynamics environments induce considerable Doppler shift and Doppler rate values in spatial communications signals, which is known as dynamic Doppler shift. Establish...
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Formato: | Dissertação |
Idioma: | por |
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Brasil
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Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/25102 |
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Resumo: | Low-earth orbit (LEO) satellites move at very high speeds and can circumscribe the
planet several times in a single day. These high dynamics environments induce considerable
Doppler shift and Doppler rate values in spatial communications signals, which
is known as dynamic Doppler shift. Establishing communication with these systems is
a multi-task process and, due to the dynamic Doppler shift, a critical task is the fine acquisition
of the carrier frequency. Several studies have investigated frequency estimation
techniques of satellite signals, considering communication environments characterized by
additive white Gaussian noise (AWGN). However, the effects of impulsive noise should
also be considered in a more accurate characterization of the LEO satellite communication
scenario. This work introduces a new method of frequency acquisition for low-orbit satellites
based on similarity calculus by maximum correntropy criterion. Due to some of its
properties, correntropy is very efficient in the processing of non-Gaussian signals, especially
in impulsive noise environments. It was investigated the robustness of the technique
proposed in this work on a communication environment characterized by impulsive noise,
and compare its performance with that obtained by a classical approach, based on the correlation
coefficient. The carrier frequency acquisition method for LEO satellites proposed
in this work can be used in the development of a decoder for signals from the Brazilian
Environmental Data Collection System (SBCD or SBCDA) and Franco-American Environmental
Data Collection System (ARGOS). |
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