Publication detail

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

DEJDAR, P. MÜNSTER, P. HORVÁTH, T.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

Released

04.07.2019

Publisher

IEEE

Location

Budapešť, Maďarsko

ISBN

978-1-7281-1864-2

Book

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

Pages from

593

Pages to

596

Pages count

4

Documents

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",
  annote="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.",
  address="IEEE",
  booktitle="42nd International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="157770",
  doi="10.1109/TSP.2019.8769055",
  howpublished="online",
  institution="IEEE",
  year="2019",
  month="july",
  pages="593--596",
  publisher="IEEE",
  type="conference paper"
}