3[5]R.E. Kalman. A New Approach to Linear Filtering and Prediction Problems. Trans. ASME. Basic Engineering, March, 1960,(32):34-45.
4[6]R.E. Kalman, R. Bucy. New Results in Linear Filtering and Prediction Throry. Trans. ASME, Basic Engineering,March, 1961, (83):95-108.
5[7]B.D. Anderson, J.B. Moore. Optimal Filtering. Prentice-Hall, New Jersey, 1979.
6[8]T.L. Song, J.L. Speyer. A stochastic Analysis of a Modified Gain Extended Kalman Filter with Applications to Estimation with Bearing Only Measurements. IEEE Trans. AC-30,No. 10, October 1985:940-949.
7[9]P.J. Galkowiski, M.A. Islam. An Alternate Derivation of the Modified Gain Function of Song and Speyer, IEEE Trans.AC-36,No. 11,November 1991:1323-1326.
8[10]Mo Longbin, Liu Qi, Zhou Yiyu and Sun Zhongkang. Improvement of Song and Speyer's Modified Gain Functions in Angles only Tracking. IEEE Ttans. AES(to be published).
9[11]S.J.Julier, J.K.Uhlmann. A General Method for Approximating Nonlinear Transformations of Probability Distributions.Technical Report, RRG, Dept. of Engineering Science, University of Oxford. 1996.
10[12]S.J. Julier, J.K. Uhlmann. A New Extension of the Kalman Filter to Nonlinear Systems. Proc. Of Aerosense: the 11th International Sumposium on Aerospace/Defence Sensing, Simulation and Controls, Orlando,Florida, 1997.
二级参考文献16
1[1]Wolfe W Let al.THE INFRARED HANDBOOK,Washington,DC.3rd Prining,1989