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Variable amplification input zero delay least mean squares adaptive filter for RFI suppression in AERA radio detectors of cosmic rays

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F19%3A00549130" target="_blank" >RIV/68378271:_____/19:00549130 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/CICN.2019.8902404" target="_blank" >https://doi.org/10.1109/CICN.2019.8902404</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CICN.2019.8902404" target="_blank" >10.1109/CICN.2019.8902404</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Variable amplification input zero delay least mean squares adaptive filter for RFI suppression in AERA radio detectors of cosmic rays

  • Original language description

    Extensive Air Showers (EAS) generate radio emission mainly in geomagnetic and charge excess processes. The Auger Engineering Radio Array (AERA) focuses on the coherent radio emission, generated in the frequency range of 30 - 80 MHz. However, this range is contaminated by human-made and narrow-band radio frequency interferences (RFI). At present, AERA uses a non-adaptive IIR filter tuned to the four strongest narrow-band carriers. The efficiency of the RFI suppression is very good, but for only well-known sources. In the near future, a 200 MW solar farm with a 250 kV power line is planned to be built in the Southern part of the Pierre Auger Observatory. The non-adaptive filter will probably not suppress the much more sophisticated RFI spectrum coming from high-power low-to-high voltage converters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10303 - Particles and field physics

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 11th International Conference on Computational Intelligence and Communication Networks (CICN 2019)

  • ISBN

    978-1-5386-8440-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    19-26

  • Publisher name

    IEEE

  • Place of publication

    Danvers

  • Event location

    Honolulu, HI

  • Event date

    Jan 3, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article