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2015 | 5 | 663--673
Tytuł artykułu

Suppression of Radio Frequency Interferences Using the Adaptive FIR Filter Based on the Linear Prediction.

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Linear Predictor (LP) is a finite impulse response adaptive filter using linear prediction to suppress radio frequency interferences (RFI) in the Auger Engineering Radio Array (AERA). AERA focus on the electromagnetic part of the Extensive Air Showers. The electromagnetic part of the shower produces radio signals in geomagnetic radiation and charge excess processes. Due to the reflection of the atmosphere AERA radio stations can observe these signals in the frequency band 30 - 80 MHz. This frequency range is contaminated by narrow-band and other human-made RFI. To suppress these contaminations AERA uses two kind of filters: the Median filter and the infinite impulse response - notch filter, however both of them have disadvantages. LP is a new approach in real-time signal filtering. Laboratory and pampas tests show fast adaptation, acceptable power consumption and very good efficiency of the LP filter. (original abstract)
Słowa kluczowe
Rocznik
Tom
5
Strony
663--673
Opis fizyczny
Twórcy
  • University of Łódź, Poland
Bibliografia
  • ] H. Falcke,W. D. Apel, A. F. Badea, et al., "Detection and imaging of atmospheric radio flashes from cosmic ray air showers", Nature, vol. 435, pp. 313-316, May 2005.
  • D. Ardouin, A. Bell'etoile, D. Charrier, et al., "Radioelectric field features of extensive air showers observed with CODALEMA" Astropart. Phys., vol. 26, pp. 341-350, Dec. 2006.
  • J. Abraham et al., [Pierre Auger Collaboration], "Properties and Performance of the Prototype Instrument for the Pierre Auger Observatory", Nucl. Instr. Meth., ser. A, vol. 523, pp. 50-95, May 2004.
  • ] S. Fliescher for the Pierre Auger Collaboration, "Radio detection of cosmic ray induced air showers at the Pierre Auger Observatory", Nucl. Instr. Meth., ser. A, vol. 662, pp. 124-129, Jan. 2012.
  • D. J. Fegan, "Detection of elusive radio and optical emission from cosmicray showers in the 1960s", Nucl. Instr. Meth., ser. A, vol. 662, pp. 2-11, Jan. 2012.
  • G. A. Askaryan, Journal of Exp. and Theoretical Phys., vol. 14, pp. 441, 1962.
  • G. A. Askaryan, "Coherent Radio Emission from Cosmic Showers in Air and in Dense Media", Journal of Exp. and Theoretical Phys., vol. 21, pp. 658-659, Jan. 1965.
  • J. Makhoul, "Linear prediction: A tutorial review" Proc. of the IEEE, vol. 63, no. 4, pp. 561-580, Apr. 1975.
  • Z. Szadkowski, E.D. Fraenkel, A. M. van den Berg, "FPGA/NIOS Implementation of an Adaptive FIR Filter Using Linear Prediction to Reduce Narrow-Band RFI for Radio Detection of Cosmic Rays", IEEE Trans. on Nucl. Science, vol. 60, pp. 3483-3490, Oct. 2013.
  • Z. Szadkowski, E.D. Fraenkel, D. Głas, R. Legumina, "An optimization of the FPGA/NIOS adaptive FIR filter using linear prediction to reduce narrow band RFI for the next generation ground-based ultra-high energy cosmic-ray experiment", Nucl. Instr. Meth., ser. A, vol. 732, pp. 535-539, June 2013.
  • Z. Szadkowski, Ad M. van den Berg, E.D. Fraenkel, D. Głas, J. Kelley, C. Timmermans, T. Wijnen, "Analysis of the efficiency of the filters suppressing the RFI being developed for the extension of AERA", 33nd International Cosmic Ray Conference - July 2013 - Rio de Janeiro, Brazil.
  • Z. Szadkowski, D. Głas, C. Timmermans, T. Wijnen for the Pierre Auger Collaboration, "First results from the FPGA/NIOS Adaptive FIR Filter Using Linear Prediction Implemented in the AERA Radio Stations to Reduce Narrow Band RFI for Radio Detection of Cosmic Rays", IEEE Real Time Conference - May 2014 - Nara, Japan.
  • Z. Szadkowski, D. Głas for the Pierre Auger Collaboration, "Adaptive Linear Predictor FIR Filter based on the Cyclone V FPGA with HPS to Reduce Narrow Band RFI in AERA Radio Detection of Cosmic Rays", Advancements in Nuclear Instrumentations Measuerment Methods and their Applications - April 2015 - Lisbon, Portugal.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171422676

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