Anderson B D O, Moore J B. Optimal Filtering. New Jersey: Prentice Hall, 1979. 36-128
[2]
Kailath T, Sayed A H, Hassibi B. Linear Estimation. New Jersey: Prentice Hall, 2000. 310-361
[3]
Sun S L, Deng Z L. Multi-sensor optimal information fusion Kalman filter. Automatica, 2004, 40(6): 1017-1023
[4]
Wang S, Yang W, Shi H B. Consensus-based filtering algorithm with packet-dropping. Acta Automatica Sinica, 2010, 36(12): 1689-1696
[5]
Chung D Y, Lee J G, Park C G, Park H W. Strapdown INS error model for multiposition aligment. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(4): 1362-1366
[6]
Lee W K, Lee J G, Roh Y K, Park C G. Modeling quaternion errors in SDINS: computer frame approach. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(1): 289-299
[7]
Mehra R K. Approaches to adaptive filtering. IEEE Transactions on Automatic Control, 1972, 7(5): 693-698
[8]
Sangsuk-Iam S, Bullock T E. Analysis of discrete-time Kalman filtering under incorrect noise covariances. IEEE Transactions on Automatic Control, 1990, 35(12): 1034-1038
[9]
Chen H F, Guo L. Identification and Stochastic Adaptive Control. Boston: Birkhauser, 1991. 54-61
[10]
Guo L, Ljung L. Exponential stability of general tracking algorithms. IEEE Transactions on Automatic Control, 1995, 40(8): 1376-1387
[11]
Guo L. Estimation time-varying parameters by the Kalman filter based algorithm: stability and convergence. IEEE Transactions on Automatic Control, 1990, 35(2): 141-147
[12]
Guo L. Stability of recursive stochastic tracking algorithms. SIAM Journal on Control and Optimization, 1994, 32(5): 1195-1225
[13]
Haykin S, Sayed A H, Zeidler J, Yee P, Wei P. Adaptive tracking of linear time-variant systems by extended RLS algorithms. IEEE Transactions on Signal Processing, 1997, 45(5): 1118-1128
[14]
Humpherys J, West J. Kalman filtering with Newton's method. IEEE Control Systems Magazine, 2010, 30(6): 101-106
[15]
Jazwinski A H. Stochastic Processes and Filtering Theory. New York: Academic Press, 1970. 194-258
[16]
Grewal M S, Henderson V, Miyasako R. Application of Kalman filtering to the calibration and alignment of inertial navigation systems. IEEE Transactions on Automatic Control, 1991, 36(1): 4-14
[17]
Grewal M S, Andrews A P. Applications of Kalman filtering in aerospace 1960 to the present-historical perspectives. IEEE Control Systems Magazine, 2010, 30(3): 69-78
[18]
Luo Y T, Zhu Y M, Luo D D, Zhou J, Song E B, Wang D H. Globally optimal multisensor distributed random parameter matrices Kalman filtering fusion with applications. Sensors, 2008, 8(12): 8086-8103
[19]
Gu Q T, Fang J. Global optimality for generalized federated filter. Acta Automatica Sinica, 2009, 35(10): 1310-1316
[20]
Deng Z L, Gao Y, Mao L, Li Y, Hao G. New approach to information fusion steady-state Kalman filtering. Automatica, 2005, 41(10): 1695-1707
[21]
Sinopoli B, Schenato L, Franceschetti M, Poolla K, Jordan M I, Sastry S S. Kalman filtering with intermittent observations. IEEE Transactions on Automatic Control, 2004, 49(9): 1453-1464
[22]
Anderson B D O, Moore J B. Detectability and stabilizability of time-varying discrete-time linear systems. SIAM Journal on Control and Optimization, 1981, 19(1): 20-32
[23]
Yang X X. Systematic Calibration Method for Laser Gyro Strapdown Inertial Navigation Systems in Outer Field [Ph.D. dissertation]. University of Chinese Academy of Sciences, China, 2010
[24]
Simon D. Optimal State Estimation-Kalman, {H_{∞ and Nonlinear Approaches. New Jersey: John Wiley and Sons, 2006. 333-369
[25]
Lipster R S, Shiryayev A N. Statistics of Random Processes II. New York: Springer, 1977. 61-69
[26]
Bougerol P. Kalman filtering with random coefficients and contractions. SIAM Journal on Control and Optimization, 1993, 31(4): 942-959
[27]
Wang Y, Guo L. On stability of random Riccati equations. Science in China (E), Technological Sciences, 1999, 42(2): 136-148
[28]
Guo L, Ljung L. Performance analysis of general tracking algorithms. IEEE Transactions on Automatic Control, 1995, 40(8): 1388-1402
[29]
Zhang J F, Guo L, Chen H F. L_p-stability of estimation errors of Kalman filter for tracking time-varying parameters. International Journal of Adaptive Control and Signal Processing, 1991, 5(3): 155-174
[30]
Sayed A H, Kailath T. A state-space approach to adaptive RLS filtering. IEEE Transactions on Signal Processing Magzine, 1994, 11(3): 18-60