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Date of Award
5-2010
Access Type
Campus Access
Document type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Electrical and Computer Engineering
First Advisor
Paul R. Siqueira
Second Advisor
David J. McLaughin
Third Advisor
Patrick A. Kelly
Subject Categories
Atmospheric Sciences | Electrical and Computer Engineering | Meteorology
Abstract
This document presents an approach using the maximum likelihood formulation to estimate vector velocities in real-time by a network of Doppler radars. Relationships between the estimated vector velocity, the statistics of the measured signals, the characteristics of the observing geometry, and the hardware and signal processing parameters is derived. Metrics to gauge the quality of vector velocity retrievals are presented, and their utilization for network design and operation is provided. The thesis concludes with a software architecture for real-time implementation of the vector velocity estimation and its demonstration within the framework of the CASA IP1 four node radar network.
DOI
https://doi.org/10.7275/5670268
Recommended Citation
Insanic, Edin, "Vector Velocity Estimation In Doppler Radar Networks" (2010). Doctoral Dissertations 1896 - February 2014. 177.
https://doi.org/10.7275/5670268
https://scholarworks.umass.edu/dissertations_1/177