Least squares estimation techniques for position tracking of radioactive sources

作者: James W. Howse , Lawrence O. Ticknor , Kenneth R. Muske

DOI: 10.1016/S0005-1098(01)00134-0

关键词:

摘要: This paper describes least squares estimation algorithms used for tracking the physical location of radioactive sources in real time as they are moved around a facility. We present both recursive and moving horizon nonlinear that consider change source deviation between measurements model predictions. The to estimate position consist four count rates reported by different gamma ray detectors. There is an uncertainty due large variance detected rate, background rate. work represents part suite tools which will partially automate security safety assessments, allow some assessments be done remotely, provide additional sensor modalities with make assessments.

参考文章(15)
Christopher V Rao, James B Rawlings, Nonlinear Moving Horizon State Estimation Birkhäuser, Basel. pp. 349- 365 ,(1995) , 10.1007/978-94-011-0135-6_14
Peter McCullagh, John Ashworth Nelder, Generalized Linear Models ,(1983)
Eliane R. Panier, André L. Tits, On combining feasibility, descent and superlinear convergence in inequality constrained optimization Mathematical Programming. ,vol. 59, pp. 261- 276 ,(1993) , 10.1007/BF01581247
Andrew P. Sage, James L. Melsa, W. J. Steinway, Estimation theory with applications to communications and control ,(1979)
H. Gotoh, H. Yagi, SOLID ANGLE SUBTENDED BY A RECTANGULAR SLIT. Nuclear Instruments and Methods. ,vol. 96, pp. 485- 486 ,(1971) , 10.1016/0029-554X(71)90624-0
Roger Fletcher, Practical Methods of Optimization ,(1988)
Craig T. Lawrence, André L. Tits, Nonlinear Equality Constraints in Feasible Sequential Quadratic Programming Optimization Methods & Software. ,vol. 6, pp. 265- 282 ,(1996) , 10.1080/10556789608805638
K.R. Muske, J.W. Howse, Comparison of recursive estimation techniques for position tracking radioactive sources american control conference. ,vol. 2, pp. 1656- 1660 ,(2001) , 10.1109/ACC.2001.945966
D. W. Wichern, R. A. Johnson, Applied Multivariate Statistical Analysis ,(1982)