A Time Synchronization Method Based on Kalman Filter for Open-loop Network of Tdma Nodes
A technology of Kalman filter and time synchronization, applied in the field of communication network, can solve the problems of not introducing synchronization keeping function and not elaborated in detail.
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[0069] The Kalman filter estimates the time parameter state vector X(n) by measuring the clock error value Z(n) successively, so as to minimize the mean square error of the estimation error. Q 1 is the time parameter state covariance matrix and Q 2 is the observation noise covariance matrix. where Q 2 With randomness, this randomness is related to time or numerical quantization, receiver or converter noise, external precision limitations, and filter delay (response speed). That is, it has a great relationship with the difference of hardware devices. H(n) is the measurement matrix, and φ(n+1,n) is the system state transition matrix. φ(n+1,n), H(n), Q 1 and Q 2 are known. Predict clock t = θ + ωT, X = [θ ω] T , clock error measurement value Z(n)=t+ε, where ε initial clock bias, H=[1 0], Q 1 = σ θ 2 0 ...
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