Bar-Shalom Y.[J].Li X R, and Kirubarajan T. Estimation with Applications to Tracking and Navigation: Theory, Algorithms, and Software [M]. New York: John Wiley Sons.2001,:-[2]Kushner H J. Approximations to optimal nonlinear filters [J].IEEE Trans. on Automat. Contr.1967, 12(10):546-[3]Kay S M. Fundamentals of Statistical Signal Processing: Estimation Theory [M]. NJ: Prentice Hall, 1993: 449-452, 344-350.[4]Mathematical Society of Japan. Encyclopedic Dictionary of Mathematics (2nd ed.) [M]. Cambridge, Massachusetts, and London: The MIT Press, 1986: 1754, 1449.[5]Doucet A, Godsill S, and Andrieu C. On sequential Monte Carlo methods for Bayesian filtering [J].Statistics and Computing.2000, 10(3):197-208[6]Arulampalam M S, Maskell S, and Gordon N, et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].IEEE Trans. on Signal Processing.2002, 50 (2):174-188[7]Pitt M and Shephard N. Filtering via simulation: Auxiliary particle filters [J].J. Amer. Statist. Assoc.1999, 94(446):590-599[8]Gordon N J, Salmond D J, and Smith A F M. Novel approach to nonlinear/non-Gaussian Bayesian state estimation [J]. IEE Proc. -F, 1993, 140 (2): 107-113.[9]Carpenter J, Clifford P, and Fearnhead P. Improved particle filter for nonlinear problems [J].IEE Proc. Radar, Sonar and Navigation.1999, 146(1):2-7[10]Li X R and Jilkov V P. Survey of maneuvering target trackingpart I: dynamic models [J].. IEEE Trans. on Aerospace and Electronic Systems.2003, 39(4):1333-1364
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