An improved active section ballistic estimation algorithm

Abstract

The invention provides an improved active section trajectory estimation algorithm. The method comprises the steps of calculating a thrust acceleration template according to the initial mass of a missile target, the air injection speeds of all stages of engines, the shutdown time and the like; Widening the thrust direction angle into a state vector component, and establishing a fine parameterized dynamic model by utilizing the widened state vector and a thrust acceleration template; Establishing an early warning satellite detection model according to the position vectors of the missile target and the two early warning satellites in the earth fixed connection coordinate system and the coordinate transformation matrix from the earth fixed connection coordinate system to each early warning satellite orbit coordinate system; Estimating a missile target initial state vector and an initial state covariance matrix according to the first three groups of equivalent detection positions; Describing a thrust direction angle by utilizing a first-order Markov process, and constructing a process noise matrix adaptive to thrust direction angle change; And performing filtering processing by using aUKF filtering algorithm, and estimating the motion state of the missile target. The method can improve the precision of trajectory estimation of the ballistic missile detected by the early warning satellite.

Description

technical field [0001] The invention relates to the technical field of space target signal perception and processing, in particular to an improved active segment ballistic estimation method. Background technique [0002] Faced with the increasing threat of ballistic missiles, countries are vigorously developing space-based infrared ballistic missile early warning systems. The typical representative is the Space Based Infrared System (SBIRS) of the United States. Signals are used to estimate ballistic parameters, including: missile launch point, shooting direction, shutdown time, shutdown point position speed and landing position, etc., which is essentially a maneuvering target tracking problem. Space-based infrared detection belongs to passive detection, and the premise of estimating the target motion state is to model the target motion. Since the active section of the ballistic missile is affected by various forces such as thrust, aerodynamic force, and gravity, the force ...

AI Technical Summary

Problems solved by technology

Template-based modeling improves the estimation accuracy by using the prior information of the missile. At present, template-based modeling mostly relies on standard ballistic templates. The estimation accuracy is determined by the accuracy and completeness of the standard ballistic template library, which is difficult for practical application.

In view of the low practicality of modeli

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