The invention discloses a
radar maneuvering target tracking optimization method based on a current
statistical model. The
radar maneuvering target tracking optimization method based on a current
statistical model includes the steps: determining a
radar and determining that a target exists in the
radar detection range; establishing a current
statistical model, determining an initial maneuvering frequency alpha0, and respectively calculating a target state-transition matrix F and an
input control matrix G; marking the state
estimation of the target at the k-1 moment as X<^>(k-1|k-1), marking themaneuvering frequency of the target at the k moment as alphak, and respectively calculating the state one-step prediction X<^>(k|k-1) of the target at the k moment and the
process noise covariance matrix Q(k) of the target at the k moment; respectively calculating the measurement prediction innovation v(k) of the target at the k moment, the kalman
gain K(k) of the target at the k moment, and theinnovation
covariance matrix S(k) of the target at the k moment; and respectively calculating the estimated value X<^>(k|k) of the state of the target at the k moment, the error
covariance matrix P(k|k) of the target at the k moment, and the maneuvering frequency alphak+1 of the target at the k+1 moment, wherein the error
covariance matrix P(k|k) of the target at the k moment, the estimated valueX<^>(k|k) of the state of the target at the k moment, and the maneuvering frequency alphak+1 of the target at the k+1 moment are the radar maneuvering target tracking optimization result based on thecurrent statistical model.