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Selection of optimum median-filter-based ambiguity removal algorithm parameters for NSCATThe NASA Scatterometer, NSCAT, is an active spaceborne radar designed to measure the normalized radar backscatter coefficient (sigma0) of the ocean surface. These measurements can, in turn, be used to infer the surface vector wind over the ocean using a geophysical model function. Several ambiguous wind vectors result because of the nature of the model function. A median-filter-based ambiguity removal algorithm will be used by the NSCAT ground data processor to select the best wind vector from the set of ambiguous wind vectors. This process is commonly known as dealiasing or ambiguity removal. The baseline NSCAT ambiguity removal algorithm and the method used to select the set of optimum parameter values are described. An extensive simulation of the NSCAT instrument and ground data processor provides a means of testing the resulting tuned algorithm. This simulation generates the ambiguous wind-field vectors expected from the instrument as it orbits over a set of realistic meoscale wind fields. The ambiguous wind field is then dealiased using the median-based ambiguity removal algorithm. Performance is measured by comparison of the unambiguous wind fields with the true wind fields. Results have shown that the median-filter-based ambiguity removal algorithm satisfies NSCAT mission requirements.
Document ID
19910031143
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Shaffer, Scott
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Dunbar, R. Scott
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Hsiao, S. Vincent
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Long, David G.
(JPL Pasadena, CA, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1989
Subject Category
Spacecraft Instrumentation
Accession Number
91A15766
Distribution Limits
Public
Copyright
Other

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