DocumentCode :
1549400
Title :
Digital correlation microwave polarimetry: analysis and demonstration
Author :
Piepmeier, Jeffrey R. ; Gasiewski, Albin J.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume :
39
Issue :
11
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
2392
Lastpage :
2410
Abstract :
The design, analysis, and demonstration of a digital-correlation microwave polarimeter for use in Earth remote sensing is presented. The authors begin with an analysis of a three-level digital correlator and develop the correlator transfer function and radiometric sensitivity. A fifth-order polynomial regression is derived for inverting the digital correlation coefficient into the analog statistic. In addition, the effects of quantizer threshold asymmetry and hysteresis are discussed. A two-look unpolarized calibration scheme is developed for identifying correlation offsets. The developed theory and calibration method are verified using a 10.7 GHz and a 37.0 GHz polarimeter. The polarimeters are based upon 1-GS/s three-level digital correlators and measure the first three Stokes parameters. Through experiment, the radiometric sensitivity is shown to approach the theoretical as derived earlier in the paper and the two-look unpolarized calibration method is successfully compared with results using a polarimetric scheme. Finally, sample data from an aircraft experiment demonstrates that the polarimeter is highly useful for ocean wind-vector measurement
Keywords :
radar polarimetry; remote sensing by radar; 10.7 GHz; 37.0 GHz; Earth remote sensing; Stokes parameters; aircraft experiment; analysis; correlator transfer function; demonstration; design; digital correlation coefficient; digital correlation microwave polarimetry; fifth-order polynomial regression; ocean wind-vector measurement; polarimeters; radiometric sensitivity; three-level digital correlators; unpolarized calibration method; Calibration; Correlators; Earth; Microwave radiometry; Polarimetry; Polynomials; Remote sensing; Sea measurements; Statistics; Transfer functions;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.964976
Filename :
964976
Link To Document :
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