gr-isdbt: An ISDB-T 1-segment receiver implementation on GNU Radio

Larroca, Federico; Guridi, Pablo Flores; Sena, Gabriel Gómez; Gonzalez-Barbone, Victor; Belzarena, Pablo

doi:10.1109/clei.2015.7360050

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…It is an open source and free software that makes possible the interface between the created model and software radio peripherals [19]. It uses a Graphical User Interface (GUI) that facilitates the software handling [20] [ 21].…”

Section: Grcmentioning

confidence: 99%

An Applicatoin of Neural Networks to Channel Estimation of the ISDB - TB FBMC System

Almeida¹,

Lopes²,

Akamine³

et al. 2018

IJWMN

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Due to the evolution of technology and the diffusion of digital television, many researchers are studying more efficient transmission and reception methods. This fact occurs because of the demand of transmitting videos with better quality using new standards such 8K SUPER Hi-VISION. In this scenario, modulation techniquessuch as Filter Bank Multi Carrier, associated with advanced coding and synchronization methods, are being applied, aiming to achieve the desired data rate to support ultra-high definition videos. Simultaneously, it is also important to investigate ways of channel estimation that enable a better reception of the transmitted signal. This task is not always trivial, depending on the characteristics of the channel. Thus, the use of artificial intelligence can contribute to estimate the channel frequency response, from the transmitted pilots. A classical algorithm called Back-propagation Training can be applied to find the channel equalizer coefficients, making possible the correct reception of TV signals. Therefore, this work presents a method of channel estimation that uses neural network techniques to obtain the channel response in the Brazilian Digital System Television, called ISDB-T B , using Filter Bank Multi Carrier.

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Section: Grcmentioning

confidence: 99%