TY - GEN
T1 - Optimal information collection for source parameter estimation of atmospheric release phenomenon
AU - Madankan, Reza
AU - Singla, Puneet
AU - Singh, Tarunraj
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this research, the effect of dynamic data measurement on source parameters estimation is studied. The concept of mutual information is exploited to identify the optimal location for each sensor, while performing the dynamic data measurement to improve accuracy of estimation. For validation purposes, an advection - diffusion simulation code, SCIPUFF (Second-order Closure Integrated PUFF) is being used as a modeling testbed to study the effect of using dynamic data measurement. A Bayesian estimation framework is being used to characterize the source parameters, while data measurement is performed by mobile sensors, which are located based on the concept of maximizing the information content. As our numerical simulations show, using dynamic data measurement, based on maximum information collection, leads to considerably better estimates of source parameters.
AB - In this research, the effect of dynamic data measurement on source parameters estimation is studied. The concept of mutual information is exploited to identify the optimal location for each sensor, while performing the dynamic data measurement to improve accuracy of estimation. For validation purposes, an advection - diffusion simulation code, SCIPUFF (Second-order Closure Integrated PUFF) is being used as a modeling testbed to study the effect of using dynamic data measurement. A Bayesian estimation framework is being used to characterize the source parameters, while data measurement is performed by mobile sensors, which are located based on the concept of maximizing the information content. As our numerical simulations show, using dynamic data measurement, based on maximum information collection, leads to considerably better estimates of source parameters.
UR - http://www.scopus.com/inward/record.url?scp=84905676209&partnerID=8YFLogxK
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U2 - 10.1109/ACC.2014.6858911
DO - 10.1109/ACC.2014.6858911
M3 - Conference contribution
AN - SCOPUS:84905676209
SN - 9781479932726
T3 - Proceedings of the American Control Conference
SP - 604
EP - 609
BT - 2014 American Control Conference, ACC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 American Control Conference, ACC 2014
Y2 - 4 June 2014 through 6 June 2014
ER -