Phased array radar target rapid navigation method based on multi-model membership control
A phased array radar and multi-model technology, applied in the direction of radio wave reflection/re-radiation, instruments, measuring devices, etc., can solve the problems of initial accuracy and radar resource load contradiction
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[0010] (1) Multi-model parameter estimation
[0011] The initial motion model of the target is established. Since the target is built in a short period of time, the uniform linear motion model is adopted, and the random noise with a mean value of 0 and a variance of Q is superimposed at the same time:
[0012] x(k+1)=x(k)+v(k)T+w(k)
[0013] E(w(k))=0
[0014] E(w(k)w T (k)) = Q
[0015] Among them, x represents the target motion state, w is Gaussian noise with zero mean, and v represents the velocity. Establish multiple models corresponding to different speed targets, and the target state equation of each speed model is:
[0016] x(k+1)=x(k)+v i (k)T+w(k),i=1,2,...,N
[0017] For the Kalman filter estimation of N models, the optimal estimate for calculating the current target state is
[0018]
[0019] where p(v(k)=v j |Y k ) is the posterior model probability, which represents the probability of each model. The posterior model probability also represents the pos...
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