DocumentCode :
3630663
Title :
Velocity Unfolding in Networked Radar System
Author :
Edin Insanic;Paul Siqueira
Author_Institution :
University of Massachusetts, Amherst, Department of Electrical and Computer Engineering, Microwave Remote Sensing Laboratory, Amherst, MA 01003. insanic@engin.umass.edu
Volume :
3
fYear :
2008
Abstract :
This paper presents an algorithm that derives the vector velocity estimate in a radar network environment considering the velocities that exceed the maximum unambiguous velocity of its observing sensor nodes. At first, an analytical derivation with underlying assumptions is presented and then simulation results are shown and discussed. This unfolding vector velocity algorithm is based on maximum likelihood theory operating on the first three weather radar spectral moments and can potentially provide a real time velocity detection of broader range of velocities than given by the nodal maximum unambiguous velocity.
Keywords :
"Doppler radar","Pulse measurements","Radio frequency","Maximum likelihood detection","Maximum likelihood estimation","Meteorological radar","Velocity measurement","Radar remote sensing","Radar detection","Atmosphere"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
ISSN :
2153-6996
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2008.4779547
Filename :
4779547
Link To Document :
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