Trajectory target launch point estimate apparatus based on model updating and method

Abstract

The invention discloses a trajectory target launch point estimate apparatus based on model updating and a method, and the method comprises the steps of reverse tracking and filtering the point data measured by a radar, calculating the flight path and the launch point position of a ballistic missile through Runge-Kutta method of extrapolation, and updating the estimated launch point position through model deviation. By adopting an insensitive filtering algorithm based on the ballistic missile motion equation, non-linear filtering in high precision is realized; the computational complexity is moderate; and a high cost efficiency ratio is provided; a high value precision through track extrapolation calculating by fourth-order Runge-Kutta method is provided; the estimate deviation of the launch point position caused by an active segment is removed through model deviation updating; and the ballistic missile launch point estimate precision is substantially improved.

Description

technical field [0001] The invention relates to a ballistic target launch point estimation device and a ballistic target launch point estimation method, in particular to a model correction-based ballistic target launch point estimation device and a model correction-based ballistic target launch point estimation device and method. Background technique [0002] Ballistic missiles have the advantages of long range, high power, high precision, and strong maneuverability, and have become the "killer trump card" in modern warfare. After World War II, countries around the world began to compete to develop various missile weapons, and ballistic missiles will become the main combat method at the beginning of the war or at critical moments. At this stage, various defense penetration technologies of ballistic missiles have become increasingly mature. There are more than a dozen countries and regions around my country alone, which have mastered or will soon have medium-range ballistic m...

AI Technical Summary

Problems solved by technology

[0010] (1) The least squares smoothing method or extended Kalman filter method commonly used in the prior art; wherein the least squares smoothing method does not consider the ballistic target motion model, the filtering accuracy is not high, and it is not suitable for real-time processing. batch analysis

Extended Kalman filtering is easy to diverge in nonlinear filtering problems, and the accuracy of filtering is not high

[0011] (2) The elliptical orbit determination method based on the two-body problem is not accurate enough. At the same time, the equation ignores the influence of factors such as the earth's rotation and surface elevation, and the impact of this on the estimation accuracy of medium-range and above ballistic missile launch points is Can not be ignored

[0012] (3) The influence of the active segment of the ballistic missile is ignored during the estimation of the launch point in the prior art, and the two-body problem is adopted to deal with it, and the whole flight of the ballistic target is modeled as a free segment, which ignores the error in the estimation of the launch point caused by the active segment, lead to large deviations in the estimated results

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