Study On Approaches And Algorithms For Tracking Ballistic Missile

Ballistic missile has been one of extremely powerful offensive weapons of modern warfare so far. Therefore, the study on ballistic missile tracking technology, as one of the core ballistic missile defense technology, has been a pressing task.This paper presents tracking approaches and algorithms study for ballistic missile in boost phase, free flight phase and reentry phase respectively. First of all, the tracking approaches and algorithms based on kinetic gravity turn model in boost phase have been proposed. Secondly, the tracking approaches and algorithms based on state equation with Doppler frequency in free flight phase have been proposed. Thirdly, the tracking approaches and algorithms based on observation equation with Doppler frequency in ballistic and mobile reentry phase have been proposed. Finally, the modeling and simulation studies are also included in this paper that consists of five parts as follows.1. To improve precision of ballistic missile flying kinetic models in boost phase, EKF and UKF non-linear filtering approach, model and algorithm of mechanical scan radar are proposed using spherical earth model and kinetic gravity turn model in a hybrid coordinate system consisting of ENU and spherical coordinate systems; EKF and UKF non-linear filtering approach, model and algorithm of phased array radar are proposed using spherical earth model and kinetic gravity turn model in hybrid coordinate system consisting of RFC and RUV coordinate systems. Simulation results verify the reasonableness and effectiveness of the two types of approaches, models and algorithms, and UKF filtering model has much higher precision than EKF filtering model.2. To improve precision of ballistic missile flying kinetic models in free flight phase, EKF and UKF non-linear filtering approach, model and algorithm of mechanical scan radar are proposed using ellipsoidal earth model in a hybrid coordinate system consisting of ENU and spherical coordinate systems; EKF and UKF non-linear filtering approach, model and algorithm of phased array radar are proposed using ellipsoidal earth model in a hybrid coordinate system consisting of RFC and RUV coordinate systems. Simulation results verify the reasonableness and effectiveness of the two types of approaches, models and algorithms, and UKF filtering model has much higher precision than EKF filtering model.3. Since radar is able to detect Doppler frequency, EKF and UKF non-linear filtering approach, model and algorithm of mechanical scan radar are proposed using spherical earth model in a hybrid coordinate system consisting of ENU and spherical coordinate systems by inputting Doppler frequency, as unknown factor, into state vector; EKF and UKF non-linear filtering approach, model and algorithm of phased array radar are proposed in a hybrid coordinate system consisting of RFC and RUV coordinate systems. Simulation results verify the reasonableness and effectiveness of the two types of approaches, models and algorithms, and UKF filtering model has much higher precision than EKF filtering model.4. To improve precision of BRV(ballistic reentry vehicle) motion models in reentry phase considering detection of Doppler frequency by radar, EKF and UKF non-linear filtering approach, model and algorithm of mechanical scan radar are proposed using ellipsoidal earth model in a hybrid coordinate system consisting of ENU and spherical coordinate systems by inputting drag parameter and Doppler frequency, as unknown factor, into state vector and observation vector respectively; similarly, EKF and UKF non-linear filtering approach, model and algorithm of phased array radar are proposed using spherical earth model in hybrid coordinate system consisting of RFC and RUV coordinate systems by inputting drag parameter and Doppler frequency, as unknown factor, into state vector and observation vector respectively. Simulation results verify the reasonableness and effectiveness of the two types of approaches, models and algorithms. And UKF filtering model has much higher precision than EKF filtering model.5. To improve precision of Ma RV(maneuvering reentry vehicle) motion models in reentry phase considering detection of Doppler frequency by radar, EKF and UKF non-linear filtering approach, model and algorithm of mechanical scan radar are proposed using ellipsoidal earth model in a hybrid coordinate system consisting of ENU and spherical coordinate systems by inputting lift parameter(lift parameter is decomposed into lateral force parameter and climbing force parameter), drag parameter, as unknown factor, into state vector and Doppler frequency, as unknown factor, into observation vector respectively; similarly, EKF and UKF non-linear filtering approach, model and algorithm of phased array radar are proposed using ellipsoidal earth model in a hybrid coordinate system consisting of RFC and RUV coordinate systems by inputting lift parameter(lift parameter is decomposed into lateral force parameter and climbing force parameter), drag parameter, as unknown factor, into state vector and Doppler frequency, as unknown factor, into observation vector respectively. Simulation results verify the reasonableness and effectiveness of the two types of approaches, models and algorithms. And UKF filtering model has much higher precision than EKF filtering model.