Radar maneuvering target tracking optimization method based on current statistical model

Abstract

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.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a radar maneuvering target tracking optimization method based on a current statistical model, which is suitable for real-time tracking of a single maneuvering target by a radar. Background technique [0002] With the continuous improvement of the maneuverability of modern targets and the increasingly complex target tracking environment, as well as the increasingly high requirements for maneuvering target tracking performance, the motion model of maneuvering targets as the basis of maneuvering target tracking technology is still the focus of maneuvering target tracking research. Key points and difficulties; most researchers have proposed many practical models and algorithms from the perspective of target acceleration, such as uniform acceleration model, time correlation model, Noval statistical model, semi-Markov model, etc. [0003] In 1970, R.A. Singer proposed the Singer model. T...

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Problems solved by technology

[0005] Since the maneuvering frequency in the current statistical model is generally set to a certain constant, if the actual maneuvering performance of the system is greater than the maneuverability corresponding to the constant, the system will experience tracking delay and the system will take a long time to stabilize the tracking, which will affect the real-time performance of the tracking system; If the actual maneuvering performance of the system is less than the maneuvering performance corresponding to the constant, it will cause the system state error to increase and cause the target to be lost

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