Detail publikace

High-speed Data Acquisition and Signal Processing Using Cost Effective ARM plusFPGA Processors

DEJDAR, P. MÜNSTER, P. HORVÁTH, T.

Originální název

High-speed Data Acquisition and Signal Processing Using Cost Effective ARM plusFPGA Processors

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper describes the possibilities of data acquisition and data processing from optical sensing systems. There are some data acquisition cards and their disadvantages when used for more complex single fiber sensor systems in the paper. It is suitable to use some open source hardware because commercially available data acquisition cards are more complex and universal which means they have several different inputs/outputs and large dimensions. STEMLab 125-14 (Red Pitaya) appears to be the most suitable solution because offers 2 analog inputs and 2 analog outputs.Compare to standard data processing systems, this is supposed to be an advantage in preprocessing data using programmable logic. This can reduce the volume of transmitted data and can also speed up processing. Thus, the measurement system will be smaller and cheaper. The device contains DA converters, therefore pulses might be generated using the same clock which enables synchronization of backscatter signal.

Klíčová slova

data acquisition; FPGA; LabVIEW; Red Pitaya; pulse generator; python

Autoři

DEJDAR, P.; MÜNSTER, P.; HORVÁTH, T.

Vydáno

4. 7. 2019

Nakladatel

IEEE

Místo

Budapešť, Maďarsko

ISBN

978-1-7281-1864-2

Kniha

42nd International Conference on Telecommunications and Signal Processing (TSP)

Strany od

593

Strany do

596

Strany počet

4

BibTex

@inproceedings{BUT157770,
  author="Petr {Dejdar} and Petr {Münster} and Tomáš {Horváth}",
  title="High-speed Data Acquisition and Signal Processing Using Cost Effective ARM plusFPGA Processors",
  booktitle="42nd International Conference on Telecommunications and Signal Processing (TSP)",
  year="2019",
  pages="593--596",
  publisher="IEEE",
  address="Budapešť, Maďarsko",
  doi="10.1109/TSP.2019.8769055",
  isbn="978-1-7281-1864-2"
}