Description: Kalman filtering from the measurement of the quantity relating to the signal is extracted by the algorithm to estimate the desired signal. Kalman filtering process has several characteristics: (1) the object of processing of the Kalman filter is a random signal (2) no useful signal and the interference of the points to be processed, the purpose of the filter is to be estimated for all the signal to be processed exact Kalman filter called optimal estimation theory terms of the forms of the Kalman filter is essentially a digital computer recursive algorithm. Measurement can be regarded as the input for the Kalman filter, it is estimated that the output value can be regarded as
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