Abstract
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 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 with the best accuracy and least computational cost among all tracking algorithms in this paper. The proposed algorithm is cost-effective for HGV tracking.
Highlights
Hypersonic glide vehicle (HGV) [1] is a rapid strike weapon which can make long-range glide in near space by aerodynamic force at greater than Mach 5
Qin et al [6] study the near space target tracking with adaptive grid interacting multiple model (AGIMM) [7] algorithm and the target trajectory is a simple combination of constant-velocity motion, constant-turning motion and constant-acceleration motion
This paper mainly focuses on HGV maneuvering trajectory tracking
Summary
Hypersonic glide vehicle (HGV) [1] is a rapid strike weapon which can make long-range glide in near space by aerodynamic force at greater than Mach 5. The wide range of maneuvers in three-dimension makes it really difficult to track the HGV and researchers prefer multiple model algorithms to single model algorithms for tracking the so-called strong maneuvering targets. Zhang et al [2] study the HGV’s Sanger trajectory [3] (without lateral maneuver) tracking using interacting multiple model (IMM) [4] algorithm based on constant acceleration (CA) model, constant turning (CT) [5] model and Singer model. Qin et al [6] study the near space target tracking with adaptive grid interacting multiple model (AGIMM) [7] algorithm and the target trajectory is a simple combination of constant-velocity motion, constant-turning motion and constant-acceleration motion. Zhai et al [8] use adaptive IMM algorithm based on the
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