Kalman filter
2016-08-23
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Kalman filter is based on minimum mean square error estimation of the optimal criteria to find a recursive estimation algorithms, the basic idea is: using state-space model of the signal and noise, the use of a moment earlier estimates and observations to update estimates of state variables, and estimated values that appear. It is suitable for real time processing and computer operation.
Kalman filter value to be measured is the essence of reconstructing the State vector of the system. "Prediction-test-fix" order of recurrence, according to the measured values of the systems to eliminate random noise, reproduce the System State, or according to the system of measurement values recovered from a contaminated system the system for what it is.
c++
滤波
卡尔曼
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