Optimal fusion estimation covariance of multisensor data fusion on tracking problem
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A measurement fusion function is defined and shown to decide the covariance of measurement fusion. If two multisensor data fusion systems have identical measurement fusion function, then the systems have identical covariances. The greater the function is, the less covariance the fusion system can obtain.
[1] C. J. Harris,et al. Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion , 2001 .
[2] Y. Bar-Shalom,et al. On optimal track-to-track fusion , 1997, IEEE Transactions on Aerospace and Electronic Systems.
[3] Sumit Roy,et al. Decentralized structures for parallel Kalman filtering , 1988 .