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Being a recursive technique which lends itself to implementation in a microcomputer, the Kalman filter is particularly suitable for on-line estimation. However, when measurement noise covariance R is much larger than process noise Q, the filtering effect will not be satisfied. A new algorithm, which we call innovation mean method, is proposed in this paper. The method makes different periods of measurement...
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