DOI 10.14209/sbrt.2021.1570724232
Eder O. de Souza, João T Dias, Demerson Gonçalves
Resumo-Com o objetivo de analisar a viabilidade de implementação de elementos de novos sistemas de comunicação sob uma abordagem SDR, este trabalho apresenta a prototipagem de um enlace de comunicação OFDM usando a ferramenta de código aberto GNU Radio e interface de hardware de baixo custo com HackRF One e RTL-SDR. Resultados preliminares se mostraram...
prototipagemOFDMSDR
DOI 10.14209/sbrt.2021.1570724234
Antônio Walkir Sibanto Caldeira, Rosângela Coelho
This paper presents a comparative study of acoustic signal enhancement methods in the presence of underwater noises. For this evaluation, the OMLSA, UMMSE and NNESE methods will be used, which are able to deal with nonstationary noises, for enhancing speech and chirp signals. Experiments are conducted considering three nonstationary acoustic noises,...
Realce de Sinaisacústica submarinaíndice de não-estacionariedade
DOI 10.14209/sbrt.2021.1570724236
Fernando Darío Almeida García, Francisco Raimundo Albuquerque Parente, Nathaly Orozco, Henry Carvajal, José Cândido Silveira Santos Filho
Sums of random variables (RVs) play a key role in the performance analysis of communication systems. In particular, sums of Nakagami-m RVs allow the performance characterization and evaluation of equal-gain combining (EGC) receivers, a classical diversity technique that has been explored in fifth-generation mobile networks. As the statistical...
Cumulative distribution functionEqual-gain combiningNakagami-m distributionProbability density function
DOI 10.14209/sbrt.2021.1570724246
André Lucas O Duarte, Marcio Eisencraft
Resumo- Neste trabalho mostra-se a aplicação de umreservoircomputerpara mitigar ruído adicionado a uma componentecaótica gerada a partir do mapa de Hénon. Assume-se queamostras do sinal caótico livre de ruído estão disponíveis paratreinamento, permanecendo desconhecido o processo caótico quegerou o sinal.
sistemas dinâmicosreservoir computingmachine learningeliminação de ruído
DOI 10.14209/sbrt.2021.1570724253
Álvaro T. Amaya, Alexandre Pohl, Ricardo Lüders
The vehicular Ad-hoc network (VANETs) is a challenging scenario for routing protocols. The high mobility of nodes is responsible for fast changes of topology and frequent interruptions of links. To cope with this challenge, Greedy Perimeter Stateless Routing (GPSR) and Ad-hoc On-demand Distance Vector (AODV) routing protocols have been devised and widely...
Vehicular ad-hoc networkRouting protocolsHigh traffic densityHello messages
DOI 10.14209/sbrt.2021.1570724307
Pablo Kunz de Jesus, Ricardo Simão Diniz Dal Molin Jr., Marcello G. Costa, Dimas Irion Alves, Manish Sharma, Renato Machado
This paper presents a change detection (CD) technique for synthetic aperture radar (SAR) image stacks. The algorithm considers three SAR images as input. One image is a common reference for the other two. One image pair is used for detecting targets of interest, while the other assists in clutter suppression. The proposed method explores a control chart...
Change detection algorithmimage stacksclutter suppression
DOI 10.14209/sbrt.2021.1570725084
Lucas Bezerra Dantas Saraiva, Vicente A. de Sousa Jr., Daniel R. de Luna
The various stages of a communication system are often not well explored in the academic environment due to the cost of radiofrequency equipment to put into practice the knowledge discussed in the classroom. The purpose of this work is to present an acoustic communication system prototype using script programming language, which can serve as a simple...
DOI 10.14209/sbrt.2021.1570725854
Aureliano Neto, André Diniz, Marcio Rodrigues, Vicente A. de Sousa Jr., Hallyson Mendonça
Open and free Digital TV remains an importantand popular service in Latin America, specially in Brazil with the implantation of the Brazilian Digital Terrestrial TelevisionSystem (SBTVD-T). This paper presents a case study of power measurements obtained according to the ABNT 15604/2017 standard, aiming to compare the coverage area of the digital...
DOI 10.14209/sbrt.2021.1570726085
Elloá Guedes, Cetherine Martins, Paulo Ribeiro Lins Júnior, Edmar Candeia Gurjão
Forecasting new COVID-19 daily cases is a task that favors actions that mitigate the damages caused by the virus. In this perspective, the present work evaluates different Machine Learning models for this purpose, considering different scales in Brazil (country, state, and city levels). After a grid search with 860 configurations, the results indicate an...
COVID 19Machine LearningForecastingModel Selection
DOI 10.14209/sbrt.2021.1570726233
Rafael A. M. Lopes, Felix Antreich, Hélio Kuga
In this work we present two architectures of Kalman phase locked loop (PLL) to mitigate ionospheric scintillation induced effects on global navigation satellite systems (GNSS) receivers: a discriminator-based and an extended Kalman PLL using independent kinematic process models for the scintillation phase and amplitude to improve robustness in carrier...