TY - GEN
T1 - Localization under random measurements with application to radiation sources
AU - Rao, Nageswara S.V.
AU - Shankar, Mallikarjun
AU - Chin, Jren Chit
AU - Yau, David K.Y.
AU - Ma, Chris Y.T.
AU - Yang, Yong
AU - Hou, Jennifer C.
AU - Xu, Xiaochun
AU - Sahni, Sartaj
PY - 2008
Y1 - 2008
N2 - We consider the problem of estimating the location of a target in 2D using random measurements of sensors' distance-differences to it. The linear algebraic solution to this problem becomes incomplete under random measurement errors, while the geometric method that always returns a solution has been developed only for 3-sensor configurations. We present three methods to extend the geometric method to a larger number of sensors, and compare their performance using simulations. We then consider two cases where measurements are collected over the same time-window at all sensors: (a) measurements are time-synchronized, and (b) measurements are independently collected within the time-window. We present the localization methods, mean of estimators and mean of measurements for case (a) and (b), respectively, and compare them using simulations. We describe a method for localizing point radiation sources from intensity measurements which uses the localization as a component. Based on simulation and test-bed results, our estimators' performance improves with the number of sensors, and the mean of estimators method offers a better overall performance.
AB - We consider the problem of estimating the location of a target in 2D using random measurements of sensors' distance-differences to it. The linear algebraic solution to this problem becomes incomplete under random measurement errors, while the geometric method that always returns a solution has been developed only for 3-sensor configurations. We present three methods to extend the geometric method to a larger number of sensors, and compare their performance using simulations. We then consider two cases where measurements are collected over the same time-window at all sensors: (a) measurements are time-synchronized, and (b) measurements are independently collected within the time-window. We present the localization methods, mean of estimators and mean of measurements for case (a) and (b), respectively, and compare them using simulations. We describe a method for localizing point radiation sources from intensity measurements which uses the localization as a component. Based on simulation and test-bed results, our estimators' performance improves with the number of sensors, and the mean of estimators method offers a better overall performance.
KW - Detection and localization
KW - Distance-difference
KW - Point radiation source
UR - http://www.scopus.com/inward/record.url?scp=56749142968&partnerID=8YFLogxK
U2 - 10.1109/ICIF.2008.4632200
DO - 10.1109/ICIF.2008.4632200
M3 - Conference contribution
AN - SCOPUS:56749142968
SN - 9783000248832
T3 - Proceedings of the 11th International Conference on Information Fusion, FUSION 2008
BT - Proceedings of the 11th International Conference on Information Fusion, FUSION 2008
T2 - 11th International Conference on Information Fusion, FUSION 2008
Y2 - 30 June 2008 through 3 July 2008
ER -