• DocumentCode
    1412278
  • Title

    Demonstration of Bistatic Radar for Ocean Remote Sensing Using Communication Satellite Signals

  • Author

    Shah, Rashmi ; Garrison, James L. ; Grant, Michael S.

  • Author_Institution
    Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
  • Volume
    9
  • Issue
    4
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    619
  • Lastpage
    623
  • Abstract
    Remote sensing of ocean roughness using reflected signals from digital communication satellites is demonstrated in an airborne experiment. Transmitted data are approximated as an infinitely long sequence of random bits, which is experimentally a hypothesis confirmed for the S-band XM radio signal. On July 2, 2010, a signal recorder was flown at an altitude of 3.17 km off the coast of Virginia, collecting ocean-reflected signals from both geostationary satellites identified as “Rhythm” and “Blues,” which were broadcasting the XM radio signal. Direct and reflected signals from the same channel were cross-correlated, producing a waveform that agreed well with a model generated at the 7.5-m/s wind speed reported from the Chesapeake Lighthouse. Adjusting this model to fit the experimental data produced an optimal estimate of 6 m/s. A Monte Carlo approach predicted errors of 0.5% from the simulated reflected XM radio signals and 2%-10% from simulated reflected Global Navigation Satellite System (GNSS-R) signals. This improvement was attributed to the higher ( ~ 30 dB) power in the XM radio signal. The availability of communication satellite transmissions, in all frequency bands used for remote sensing, opens the possibility of using signals of opportunity as low-cost alternatives to radiometry or scatterometry.
  • Keywords
    geophysical signal processing; oceanographic regions; oceanographic techniques; remote sensing by radar; satellite navigation; wind; AD 2010 07 02; Blues; Chesapeake Lighthouse; GNSS-R signals; Global Navigation Satellite System; Monte Carlo approach; Rhythm; S-band XM radio signal; USA; Virginia coast; XM radio signal broadcasting; airborne experiment; altitude 3.17 km; bistatic radar; communication satellite signals; communication satellite transmission; digital communication satellite; geostationary satellites; ocean remote sensing; ocean roughness; ocean-reflected signals; radiometry; random bit sequence; scatterometry; signal reflection; wind speed; Global Positioning System; Mathematical model; Remote sensing; Satellites; Sea measurements; Sea surface; Wind speed; Ambiguity function; bistatic radar; oceanography; remote sensing; satellite communications;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2011.2177061
  • Filename
    6119195