TY - GEN
T1 - Network detection of radiation sources using ROSD localization
AU - Wu, Chase Q.
AU - Berry, Mark L.
AU - Grieme, Kayla M.
AU - Sen, Satyabrata
AU - Rao, Nageswara S.V.
AU - Brooks, Richard R.
AU - Temples, Christopher
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/10/3
Y1 - 2016/10/3
N2 - Networks of radiation counters are increasingly being deployed in monitoring applications to provide faster and better detection than individual detectors. Their performances critically depend on the algorithms used to aggregate measurements from individual detectors. Recently, localization-based algorithms have been developed for network detection, where multiple source location estimates are generated based on the measurements from various 'dispersed' subnets: i) when a source is present, these source location estimates form a single dominant cluster; ii) otherwise, they are spatially dispersed. For example, the triangulation-based detection method [1] employs a closed-form quadratic expression for source location estimates using a subnet of three detectors. This method works well in relatively simple detector configurations, but may exhibit unpredictable performances in complex settings mainly due to the increased number of imaginary roots in the closed-form solution.
AB - Networks of radiation counters are increasingly being deployed in monitoring applications to provide faster and better detection than individual detectors. Their performances critically depend on the algorithms used to aggregate measurements from individual detectors. Recently, localization-based algorithms have been developed for network detection, where multiple source location estimates are generated based on the measurements from various 'dispersed' subnets: i) when a source is present, these source location estimates form a single dominant cluster; ii) otherwise, they are spatially dispersed. For example, the triangulation-based detection method [1] employs a closed-form quadratic expression for source location estimates using a subnet of three detectors. This method works well in relatively simple detector configurations, but may exhibit unpredictable performances in complex settings mainly due to the increased number of imaginary roots in the closed-form solution.
UR - http://www.scopus.com/inward/record.url?scp=84994131428&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2015.7581999
DO - 10.1109/NSSMIC.2015.7581999
M3 - Conference contribution
AN - SCOPUS:84994131428
T3 - 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
BT - 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
Y2 - 31 October 2015 through 7 November 2015
ER -