Comparison of two Algorithms for signal detection in pulsar-based FSR

H. Kabakchiev, V. Behar, I. Garvanov, D. Kabakchieva, H. Rohling, Marinus Jan Bentum, J. Fernandes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Two detection algorithms (heuristic and CFAR) for target detection in pulsar FSR are analyzed using the simulation approach. The simulation results are verified by processing of the experimental data obtained by the radio observatory Dwingeloo in the Netherlands. The simulation and experimental results proved that the CFAR detection algorithm is more effective than the heuristic algorithm and can be successfully used in a pulsar FSR system for protection of air space from unwanted air objects.
    Original languageEnglish
    Title of host publicationProceedings of 2018 19th International Radar Symposium (IRS)
    Place of PublicationUSA
    PublisherIEEE Aerospace and Electronic Systems Society
    Pages1-9
    Number of pages9
    ISBN (Electronic)978-3-7369-9545-1
    ISBN (Print)978-1-5386-1269-9
    DOIs
    Publication statusPublished - 30 Aug 2018
    Event19th International Radar Symposium, IRS 2018 - Bonn, Germany
    Duration: 20 Jun 201822 Jun 2018
    Conference number: 19
    https://www.dgon-irs.org/en/home/

    Conference

    Conference19th International Radar Symposium, IRS 2018
    Abbreviated titleIRS 2018
    CountryGermany
    CityBonn
    Period20/06/1822/06/18
    Internet address

    Fingerprint Dive into the research topics of 'Comparison of two Algorithms for signal detection in pulsar-based FSR'. Together they form a unique fingerprint.

  • Cite this

    Kabakchiev, H., Behar, V., Garvanov, I., Kabakchieva, D., Rohling, H., Bentum, M. J., & Fernandes, J. (2018). Comparison of two Algorithms for signal detection in pulsar-based FSR. In Proceedings of 2018 19th International Radar Symposium (IRS) (pp. 1-9). [18073903] USA: IEEE Aerospace and Electronic Systems Society. https://doi.org/10.23919/IRS.2018.8448192