Codificação analógica conjunta fonte-canal com conjuntos não-gaussianos de amostras de sensores

• Autor(a) principal: Schroeder, Rafaela
• Data de Publicação: 2019
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Texto Completo: http://repositorio.utfpr.edu.br/jspui/handle/1/4432
• topic: Códigos corretores de erros (Teoria da informação); Processos gaussianos; Sistemas de comunicação sem fio; Sistemas eletrônicos analógicos; Redes de sensores sem fio; Processamento de sinais - Técnicas digitais; Comunicação máquina a máquina; Internet das Coisas; Engenharia elétrica; Error-correcting codes (Information theory); Gaussian processes; Wireless communication systems; Analog electronic systems; Wireless sensor networks; Signal processing - Digital technique; Machine-to-machine communications; Internet of things; Electric engineering; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::SISTEMAS ELETRICOS DE POTENCIA::MEDICAO, CONTROLE, CORRECAO E PROTECAO DE SISTEMAS ELETRICOS DE POTENCIA; Engenharia Elétrica

This work proposes an analog joint source-channel coding scheme as an alternative for machine-type communications that require low communications delay. The analog coding scheme is based on mapping the symbols generated by an information source into a curve. The mapping curve can be defined by geometric mappings or by numerical optimizations, denoted by parametric and non-parametric coding, respectively. In this work, we have implemented these two types of coding for the non-Gaussians sets of samples collected by sensors. Considering that the parametric scheme is optimal for Gaussian sources only, the Box-Cox transformation has been used to improve the performance. On the other hand, the non-parametric scheme can easily adapt to different sample sets, at the cost of more complex implementation. The numerical results show that the non-parametric scheme achieves better performance, in general. Also, we can observe that Box-Cox transformation is a simple technique that improves significantly the performance of the parametric scheme. Moreover, for certain values of the channel signal-to-noise ratio, the performance of the parametric scheme is similar, which justifies its choice due to the lower complexity.