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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10303 - Particles and field physics
Result continuities
Project
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Continuities
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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
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e-ISSN
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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
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