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• W2100077853 abstract "This paper compares the performance of recursive state estimation techniques for tracking the physical location of a radioactive source based on radiation measurements obtained from a series of detectors at fixed locations. Specifically, the first order, iterated, and a second order extended Kalman filter performance is compared to nonlinear least squares estimation. The results of this study indicate that least squares estimation significantly outperforms the extended Kalman filter implementations in this application due to the nature of the model nonlinearities." @default.
• W2100077853 created "2016-06-24" @default.
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• W2100077853 date "2001-01-01" @default.
• W2100077853 modified "2023-09-27" @default.
• W2100077853 title "Comparison of recursive estimation techniques for position tracking radioactive sources" @default.
• W2100077853 cites W2050141476 @default.
• W2100077853 cites W2066502293 @default.
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• W2100077853 doi "https://doi.org/10.1109/acc.2001.945966" @default.
• W2100077853 hasPublicationYear "2001" @default.
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