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Single Channel Degarbling of SIF/IFF Pulses Using Spectral Inverse Filtering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F25%3A00560298" target="_blank" >RIV/60162694:G43__/25:00560298 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10172453" target="_blank" >https://ieeexplore.ieee.org/document/10172453</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/IRS57608.2023.10172453" target="_blank" >10.23919/IRS57608.2023.10172453</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Single Channel Degarbling of SIF/IFF Pulses Using Spectral Inverse Filtering

  • Original language description

    The secondary surveillance radar (SSR) is a transponder system used in air traffic control (ATC). Due to growing traffic densities, it is increasingly likely that a ground station receives a mixture of responses from various aircraft, partially overlapping in frequency and time. Currently such 'collisions ' are disregarded, at a loss of system performance and reliability. This overlapping can be reduced by processing using antenna array [1], [2], [3] or with using only single channel via frequency superresolution with using of transponder carrier frequency inaccuracies [4]. In this paper the possibility of single channel receiver overlapped pulse separation is presented. The main principle is using of spectral inverse filter for increasing range accuracy [5]. Because the spectral inverse filter for SSR transponder pulses are highly mismatched the presented principle is usable only in reduced range where is appropriate signal to noise ratio (SNR).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20200 - Electrical engineering, Electronic engineering, Information engineering

Result continuities

  • Project

    <a href="/en/project/TM02000035" target="_blank" >TM02000035: NEO classification of signals (NEOCLASSIG) for radio surveillance systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2023 24th International Radar Symposium (IRS)

  • ISBN

    978-3-944976-34-1

  • ISSN

    2155-5753

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

  • Event location

    Berlin, Federal Republic of Germany

  • Event date

    May 24, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article