Bar-Shalom Y, Li X R, Kirubarajan T. Estimation with Applications to Tracking and Navigation. John Wiley and Son, Inc., 2001.
[2]
Aderson B D O, Moore J B. Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
[3]
Xiong K, Wei C L, Liu L D. Robust Kalman filtering for discrete-time nonlinear systems with parameter uncertainties. Aerospace Science and Technology, 2012, 18(1): 15-24
[4]
Zhang W A, Chen B, Yu L. Robust Kalman filtering for uncertain state delay systems with random observation delays and missing measurements. IET Control Theory and Applications, 2011, 5(17): 1945-1954
[5]
Boyd S, El Ghaoui L, Feron E, Balakrishnan V. Linear Matrix Inequalities in System and Control Theory. Philadelphia: SIAM, 1994.
[6]
Yang F, Li Y. Robust set-membership filtering for systems with missing measurement: a linear matrix inequality approach. IET Signal Processing, 2012, 6(4): 341-347
[7]
Lopes C G, Sayed A H. Incremental adaptive strategies over distributed networks. IEEE Transactions on Signal Process, 2007, 55(8): 4064-4077
[8]
Li X R, Zhu Y M, Wang J, Han C Z. Optimal linear estimation fusion I: Unified fusion rules. IEEE Transactions on Information Theory, 2003, 49(9): 2192-2208
[9]
Gao Y, Jia W J, Sun X J, Deng Z L. Self-tuning multisensor weighted measurement fusion Kalman filter. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(1): 179 -191
[10]
Ran Chen-Jian, Hui Yu-Song, Gu Lei, Deng Zi-Li. Correlated measurement fusion steady-state Kalman filtering algorithms and their optimality. Acta Automatica Sinica, 2008, 34(3): 233-239 (in Chinese)
[11]
Bar-Shalom Y, Campo L. The effect of the common process noise on the two-sensor fused-track covariance. IEEE Transactions on Aerospace and Electronic Systems, 1986, AES-22(6): 803-805
[12]
Gao Y, Ran C J, Sun X J, Deng Z L. Optimal and self-tuning weighted measurement fusion Kalman filters and their asymptotic global optimality. International Journal of Adaptive Control and Signal Processing, 2010, 24(11): 9821004
[13]
Hu J W, Xie L H, Zhang C S. Diffusion Kalman filtering based on covariance intersection. IEEE Transactions on Signal Processing, 2012, 60(2): 891-902
[14]
Qu X M, Zhou J, Song E B, Zhu Y M. Minimax robust optimal estimation fusion in distributed multisensor systems with uncertainties. IEEE Signal Processing Letters, 2010, 17(9): 811-814
[15]
Deng Z L, Gao Y, Mao L, Li Y, Hao G. New approach to information fusion steady-state Kalman filtering. Automatica, 2005, 41(10): 1695-1701
[16]
Liggins M E, Hall D L, Llinas J. Handbook of Multisensor Data Fusion: Theory and Practice (2nd edition). Boca Raton, FL: Taylor and Francis Group, CRC Press, 2008.
[17]
Zhang Y, Chai S Y, Chen W H. Robust information filter for decentralized estimation. Automatica, 2005, 41(12): 21412146
[18]
Zhu X, Soh Y C, Xie L H. Design and analysis of discrete-time robust Kalman filters. Automatica, 2002, 38(6): 10691077
[19]
Ebihara Y, Hagivara T. A dilated LMI approach to robust performance analysis of linear time-invariant uncertain systems. Automatica, 2005, 41(11): 1933-1941
[20]
Jin X B, Bao J, Zhang J L. Centralized fusion estimation for uncertain multisensor system based on LMI method. In: Proceedings of the 2009 International Conference on Mechatronics and Automation. Changchun, China: IEEE, 2009. 2383-2387
[21]
Akyildiz I F, Su W L, Sanskarasubramaniam Y, Cayirci E. A survey on sensor networks. IEEE Communications Magazine, 2002, 40(8): 102-114
[22]
Jadbabaie A, Lin J, Morse A S. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control, 2003, 48(6): 988 -1001
[23]
Gan Q, Harris C J. Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(1): 273-280
[24]
Ran C J, Deng Z L. Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal. Signal Processing, 2011, 91(8): 2028-2041
[25]
Gao Y, Ran C J, Deng Z L. Weighted measurement fusion Kalman filter with correlated measurement noises and its global optimality. In: Proceedings of the 2007 International Colloquium on Information Fusion. Xi'an, China, 2007. 228-234
[26]
Deng Z L, Zhang P, Qi W J, Gao Y, Liu J F. The accuracy comparison of multisensor covariance intersection fuser and three weighting fusers. Information Fusion, 2013, 14(2): 177 -185
[27]
Carlson N A. Federated square root filter for decentralized parallel processors. IEEE Transactions on Aerospace and Electronic Systems, 1990, 26(3): 517-525
[28]
Cattivelli F S, Sayed A H. Diffusion strategies for distributed Kalman filtering and smoothing. IEEE Transactions on Automatic Control, 2010, 55(9): 2069-2084
[29]
Ahmad A, Gani M, Yang F W. Decentralized robust Kalman filtering for uncertain stochastic systems over heterogeneous sensor networks. Signal Processing, 2008, 88(8): 1919-1928
[30]
Kailath T, Sayed A H, Hassibi B. Linear Estimation. New York: Prentice Hall, 2000.
[31]
Sun S L, Deng Z L. Multi-sensor optimal information fusion Kalman filter. Automatica, 2004, 40(6): 1017-1023
[32]
Eldar Y C, Beck A, Tehoulle M. A minimax Chebyshev estimator for bounded error estimation. IEEE Transactions on Signal Processing, 2008, 56(4): 1388-1397
