Embedded Signal Processing Module for Online Filtering in High-Event Rate Conditions

Authors

  • Linton T. C. Esteves Electrical Engineering Program Federal University of Bahia Salvador, Brazil
  • Eduardo F. Simas Filho Electrical Engineering Program Federal University of Bahia Salvador, Brazil
  • Paulo C. M. A. Farias Electrical Engineering Program Federal University of Bahia Salvador, Brazil
  • Luciano M. Andrade Filho Federal University of Juiz de Fora
  • Augusto S. Cerqueira Federal University of Juiz de Fora
  • Victor A. Ferraz Federal University of Rio de Janeiro
  • Rafael G. Gama Federal University of Juiz de Fora
  • José M. Seixas Federal University of Rio de Janeiro

DOI:

https://doi.org/10.14209/jcis.2018.7

Keywords:

Online event filtering, embedded digital signal processing, matched filter, electronic instrumentation

Abstract

 Online event detection (filtering) is required in communications, industry and electronic instrumentation systems. Those systems may comprise sequential decision levels. Eventually, decision to reject or accept an event may comprise fusion of different measured data. This work describes an embedded solution in field-programmable gate array (FPGA), which allows to combine information from two different sources for a decision. A matched filter discriminator was used to identify typical signatures of interest. The main focus is on both digital data control and packaging module design and implementation and optimization of the matched filter module in terms of FPGA occupation. The proposed digital electronic system is presented and simulation results are used to validate the design.

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Published

2018-05-04

How to Cite

Esteves, L. T. C., Simas Filho, E. F., Farias, P. C. M. A., Andrade Filho, L. M., Cerqueira, A. S., Ferraz, V. A., … Seixas, J. M. (2018). Embedded Signal Processing Module for Online Filtering in High-Event Rate Conditions. Journal of Communication and Information Systems, 33(1). https://doi.org/10.14209/jcis.2018.7

Issue

Section

Regular Papers
Received 2018-02-27
Accepted 2018-04-09
Published 2018-05-04

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