[1] [1] BENZERROUK H, NEBYLOV A, SALHI H. Contribution in information signal processing for solving state space nonlinear estimation problems［J］.Journal of Signal & Information Processing, 2013, 4(4):375-384.

[2] [2] LEE D J. Nonlinear estimation and multiple sensor fusion using unscented information filtering［J］. IEEE Signal Processing Letters, 2008, 15: 861-864.

[3] [3] VERCAUTEREN T, WANG X. Decentralized sigma-point information filters for target tracking in collaborative sensor networks［J］. IEEE Transactions on Signal Processing, 2005, 53(8):2997-3009.

[4] [4] OLFATI-SABER R. Distributed Kalman filter with embedded consensus filters［C］//IEEE Conference on Decision and Control, 2006: 8179-8184.

[10] [10] OLFATISABER R, MURRAY R M. Consensus problems in networks of agents with switching topology and time-delays［J］. IEEE Transactions on Automatic Control, 2004, 49(9): 1520-1533.

[13] [13] JULIER S, UHLMANN J, DURRANTWHYTE H F. A new method for the nonlinear transformation of means and covariances in filters and estimators［J］. IEEE Transactions on Automatic Control, 2001, 45(3):477-482.

[14] [14] LIN X, BOYD S, KIM S J. Distributed average consensus with least-mean-square deviation［J］.Journal of Parallel & Distributed Computing, 2007, 67(1): 33-46.

[16] [16] LIN X, BOYD S. Fast linear iterations for distributed ave-raging［C］//IEEE International Conference on Decision and Control, 2004: 4997-5002.

[17] [17] XI F, HE J, LIU Z. Adaptive fast consensus algorithm for distributed sensor fusion［J］. Signal Processing, 2010, 90(5): 1693-1699.