Abstract/Details

Vector velocity estimation in doppler radar networks


2010 2010

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Abstract (summary)

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.

Indexing (details)


Subject
Electrical engineering;
Meteorology;
Atmospheric sciences
Classification
0544: Electrical engineering
0557: Meteorology
0608: Atmospheric sciences
Identifier / keyword
Applied sciences; Pure sciences; Earth sciences; Estimation; Mesoscale; Networks; Radar; Velocity; Wind
Title
Vector velocity estimation in doppler radar networks
Author
Insanic, Edin
Number of pages
172
Publication year
2010
Degree date
2010
School code
0118
Source
DAI-B 71/07, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781124072579
Advisor
Siqueira, Paul R.
Committee member
Kelly, Patrick A.; Kurose, James F.; McLaughin, David J.; Pepyne, David L.
University/institution
University of Massachusetts Amherst
Department
Electrical & Computer Engineering
University location
United States -- Massachusetts
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3409595
ProQuest document ID
638877897
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/638877897
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