Analysis of efficiency and quality of filters suppressing RFI in radio detection of cosmic rays
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F21%3A00555677" target="_blank" >RIV/68378271:_____/21:00555677 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1016/j.nima.2021.165171" target="_blank" >https://doi.org/10.1016/j.nima.2021.165171</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.nima.2021.165171" target="_blank" >10.1016/j.nima.2021.165171</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of efficiency and quality of filters suppressing RFI in radio detection of cosmic rays
Popis výsledku v původním jazyce
Radio stations of the Auger Engineering Radio Array (AERA) investigates radio signals from coherent emissions due to geomagnetic radiation and charge excess processes. The frequency band is limited to 30-80 MHz. In order to improve the signal to noise ratio, RFI filters have to be used to suppress this contamination. The paper compares several (currently in use and proposed) RFI filters. We analyzed: the non-adaptive filter (IIR notch) as well as adaptive filters: IIR notch supported by the virtual NIOS (R) processor, FIR based on the linear prediction supported by the virtual NIOS (R) processor and finally the Least Mean Square filter. The LMS filter proposed for the RFI suppression should use correct learning factor, crucial for a stability of the filter, which could be determined by eigenvalues of the auto-correlation matrix built for ADC samples.
Název v anglickém jazyce
Analysis of efficiency and quality of filters suppressing RFI in radio detection of cosmic rays
Popis výsledku anglicky
Radio stations of the Auger Engineering Radio Array (AERA) investigates radio signals from coherent emissions due to geomagnetic radiation and charge excess processes. The frequency band is limited to 30-80 MHz. In order to improve the signal to noise ratio, RFI filters have to be used to suppress this contamination. The paper compares several (currently in use and proposed) RFI filters. We analyzed: the non-adaptive filter (IIR notch) as well as adaptive filters: IIR notch supported by the virtual NIOS (R) processor, FIR based on the linear prediction supported by the virtual NIOS (R) processor and finally the Least Mean Square filter. The LMS filter proposed for the RFI suppression should use correct learning factor, crucial for a stability of the filter, which could be determined by eigenvalues of the auto-correlation matrix built for ADC samples.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10308 - Astronomy (including astrophysics,space science)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Nuclear Instruments & Methods in Physics Research Section A
ISSN
0168-9002
e-ISSN
1872-9576
Svazek periodika
999
Číslo periodika v rámci svazku
May
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
10
Strana od-do
165171
Kód UT WoS článku
000636224700009
EID výsledku v databázi Scopus
2-s2.0-85102970106