With the development of modern industrial technology and ship technology,high-value strategic weapons on the sea,such as aircraft carriers,battleships,etc.,are of great strategic significance,so it is of great significance to protect our high-value strategic weapons on the sea.However,modern anti-ship missiles have brought great threats to maritime military equipment with their complex and changeable maneuvering forms and powerful penetration ability.Therefore,it is of great significance to study both high-precision and high-speed target state estimation algorithm and real-time monitoring and tracking of anti-ship missiles for the improvement of maritime military equipment’s anti-missile capability.This paper takes variable structure multiple model algorithm as the core method to conduct research,and its main contributions are divided into the following aspects:Firstly,several common target state estimation models are studied and nonlinear filtering algorithms are introduced.In the aspect of target state estimation,the "snake" maneuver mode of anti-ship missile is analyzed and studied.Based on the observed trajectory of "snake" maneuvering,a kind of "snake" maneuvering motion model is fitted by means of trigonometric function fitting.Secondly,in the filtering algorithm.Based on the study of UKF algorithm,CKF algorithm and adaptive filtering algorithm,combined with the "snake" motion model,an adaptive filtering algorithm suitable for variable structure multi-model algorithm is proposed,which has better tracking accuracy and convergence speed.Finally,aiming at the real-time problem of target motion state estimation in real time,this paper proposes a variable structure multi-model algorithm with simplified model set.This algorithm firstly proves that some simple models can replace some complex models within the controllable error,thus proving the theoretical basis of model replacement.Based on the theoretical basis that the computing speed of simple model is much lower than that of complex model,the reliable performance of target state estimation can be achieved.Through simulation analysis,the algorithm is 50% faster than the traditional interactive multi-model algorithm. |