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
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