• DocumentCode
    2013037
  • Title

    Over-the-horizon radar continuous-wave interference suppression using harmonic least-squares fitting

  • Author

    Holdsworth, D.A.

  • Author_Institution
    Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • fYear
    2013
  • fDate
    9-12 Sept. 2013
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    High Frequency (HF) skywave over-the-horizon (OTH) radar is routinely affected by radio frequency interference (RFI) from natural sources (e.g. lightning), and transmissions from other users, such as continuous-wave (CW) signals. Although adaptive processing effectively mitigates interference and noise, it can impact negatively upon target detection in some cases. This paper describes a simple filtering technique, harmonic least-squares fitting (HLSF), which has potential for application throughout the OTH radar signal processing chain. In this paper we illustrate HLSF application for clutter suppression, transient detection, and CW interference suppression. In each instance HLSF application demonstrates advantages over commonly used techniques.
  • Keywords
    interference suppression; least squares approximations; radar clutter; radar detection; radar signal processing; CW signal; HF skywave over-the-horizon radar; HLSF application; OTH radar signal processing chain; RFI; adaptive processing; clutter suppression; continuous-wave signals; filtering technique; harmonic least-squares fitting; high frequency skywave over-the-horizon radar; interference mitigation; over-the-horizon radar continuous-wave interference suppression; radio frequency interference; target detection; transient detection; Clutter; Doppler effect; Indexes; Interference suppression; Radar; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2013 International Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4673-5177-5
  • Type

    conf

  • DOI
    10.1109/RADAR.2013.6651969
  • Filename
    6651969