• DocumentCode
    1781138
  • Title

    AirMOSS P-band RF interference experience

  • Author

    Harcke, Leif J. ; Le, Charles T-C

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Abstract
    The NASA AirMOSS instrument is a P-band (UHF) fully polarimetric synthetic aperture radar designed to measure root-zone soil moisture. The radar currently operates in the 420-440 MHz band in North America. Narrowband communications signals are secondary users of this spectrum and contribute RF interference to the radar´s operation. An adaptive RF interference filter based on the least-mean squares (LMS) algorithm developed for the GeoSAR UHF airborne SAR program has been adopted for use by AirMOSS. Characterization of the algorithm´s effects on simulated point targets finds a 1.2 dB average amplitude error. Though this is within the 1.5 dB absolute calibration specification for the AirMOSS radar, RFI removal can be a large contributor to the total radiometric error budget. Experience during the first nine months of AirMOSS operations has applied the adaptive RFI removal on an as-needed basis due to multiplicative noise (MNR) increase and calibration concerns.
  • Keywords
    adaptive filters; airborne radar; least mean squares methods; radar polarimetry; radiofrequency interference; synthetic aperture radar; AirMOSS P-band RF interference experience; AirMOSS operations; GeoSAR UHF airborne SAR program; NASA AirMOSS instrument; North America; P-band fully polarimetric synthetic aperture radar; adaptive RF interference filter; adaptive RFI removal; frequency 420 MHz to 440 MHz; least-mean squares algorithm; narrowband communications signals; radar operation; root-zone soil moisture; simulated point targets; total radiometric error budget; Adaptive filters; Calibration; Electromagnetic interference; Least squares approximations; Noise; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875691
  • Filename
    6875691