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Decomposed state-fusion estimation for multisensor data fusion system

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2 Author(s)
Jin Xue-ho ; Coll. of Informatics & Electron., Zhejiang Inst. of Sci. & Technol., Hangzhou, China ; Lin Yues-song

Based on matrix theory, a new decomposed state fusion estimation algorithm is presented. The algorithm is optimal for a special data fusion system, in which the covariance matrix of correlated measurement noise is a Pei-Radman matrix and observation matrices are identical. The steady error of decomposed estimation covariance in other general system is decided by measurement matrix and measurement noise covariance matrix.

Published in:

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on  (Volume:1 )

Date of Conference:

14-17 Dec. 2003