A Cost-Effective Tracking Algorithm for Hypersonic Glide Vehicle Maneuver Based on Modified Aerodynamic Model

A Cost-Effective Tracking Algorithm for Hypersonic Glide Vehicle Maneuver Based on Modified Aerodynamic Model

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In order to defend the hypersonic glide vehicle (HGV), a cost-effective single-model tracking algorithm using Cubature Kalman filter (CKF) is proposed in this paper based on modified aerodynamic model (MAM) as process equation and radar measurement model as measurement tokidoki hello kitty blind box equation.In the existing aerodynamic model, the two control variables attack angle and bank angle cannot be measured by the existing radar equipment and their control laws cannot be known by defenders.To establish the process equation, the MAM for HGV tracking is proposed by using additive white noise to model the rates of change of the two control variables.For the ease of comparison several multiple model algorithms based on CKF are presented, including interacting multiple model (IMM) algorithm, adaptive grid interacting multiple model (AGIMM) algorithm and hybrid grid multiple model (HGMM) algorithm.

The performances of these algorithms are compared and analyzed according to the simulation results.The simulation results indicate that the proposed tracking algorithm based on modified aerodynamic model has the best tracking performance cloth nappies ackermans with the best accuracy and least computational cost among all tracking algorithms in this paper.The proposed algorithm is cost-effective for HGV tracking.