Paper Info
Title
Use of Vector Velocity Estimate Accuracy for Improved Resource Allocation in a Network of Doppler Radars
Abstract
The Center for Collaborative Adaptive Sensing of the Atmosphere CASA, an NSF Engineering Research Center (1), was established in 2003 to develop low-cost, high spatial density and dynamically adaptive networks of weather Doppler X-band radars for sensing the lower atmosphere. The allocation of radar system resources within the network is based on a balance between the priority of the user requests and the quality of the measurement for the given user task. For one such measurement type, the vector velocity and vector velocity variance of meteorological events are both potential indicators of turbulence and hazardous weather conditions. Hence, understanding the tradeoff between the allocation of network resources such as dwell time and the number of observing nodes utilized and measurement accuracy is important for optimizing the deployed network geometry and actively generating observing strategies based on changing weather conditions and user priorities. In this presentation a solution for estimating vector velocity, and vector velocity accuracy from the radial Doppler velocities measured in a radar network system is given. This is accomplished by using a maximum likelihood formulation to provide mathematical structure for the estimation process and for combining measurement uncertainties, such as SNR and weather induced velocity variation, to understand their overall impact on output products defined by the end user. Analysis of sample single node and network data in the context of the CASA system is presented to demonstrate the utility of this methodology. Simulation results will be shown and sources of errors discussed.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779552
IGARSS
Keywords
Field
DocType
resource management,vectors,weather radar,maximum likelihood,dwell time,radar,signal to noise ratio,resource allocation,covariance matrix,estimation,measurement uncertainty,atmosphere,meteorology,measurement errors
Radar,Doppler radar,Computer science,Signal-to-noise ratio,Performance metric,Remote sensing,Resource allocation,Doppler effect,Radar network,Estimator
Conference
Citations 
PageRank 
References 
1
0.67
2
Authors
2
Name
Order
Citations
PageRank
Edin Insanic172.70
Paul Siqueira212829.52