DocumentCode :
2105200
Title :
Estimating refractivity from land clutter: another look at a simple approach
Author :
Barrios, Amalia E.
Author_Institution :
Atmos. Propagation Branch, SPA WARSYSCEN SAN DIEGO D858, CA, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
904
Abstract :
In a previous report, two methods of estimating refractivity from land clutter were discussed where one of the methods used a parabolic equation (PE) algorithm combined with a least squares technique, and the other used a ray trace algorithm combined with a rank correlation scheme (Barrios 2000). Based on simulations alone, both of these methods were fairly successful in estimating a tri-linear representation of a radiosonde-measured refractivity profile over two mixed land-sea paths. However, each method appears to favor a certain type of land topography. The PE/least-squares method performed well over land paths characterized by steep peaks and valleys and the ray trace/correlation method performed well over land paths which were not sharply varying in elevation. This latter method offers a more attractive alternative to the conventional least-squares technique because of its execution speed and simplicity, therefore we take a more extensive look at this technique
Keywords :
atmospheric techniques; correlation methods; meteorological radar; radar clutter; ray tracing; refractive index; remote sensing by radar; tropospheric electromagnetic wave propagation; atmosphere; land clutter; land topography; mixed land-sea paths; radiosonde-measured refractivity profile; rank correlation scheme; ray trace algorithm; refractivity; tri-linear representation; Clutter; Correlation; Ducts; Equations; Least squares approximation; Maximum likelihood estimation; Ray tracing; Refractive index; Storage area networks; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.976675
Filename :
976675
Link To Document :
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