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of the two measurements weighted by their respective information.

It is worth noting that if is a random variable. The estimates and will be correlated through common process noise, which will cause the estimate to lose conservativeness.

Another (equivalent) method to fuse two measurements is to use the optimal Kalman filter. Suppose that the data is generated by a first-order system and let denote

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