基于自适应滤波的高超声速滑翔目标三维跟踪算法

doi:10.12305/j.issn.1001-506X.2022.02.33

Abstract

Abstract:

In order to solve the problem that the maneuvering mode of hypersonic gliding vehicle is complex and the single kinematic model is difficult to complete the three-dimensional tracking, a three-dimensional tracking method is proposed. The maneuvering trajectory of the vehicle is divided into longitudinal and lateral trajectory. According to the maneuvering characteristics of the vehicle, the acceleration is modeled as a second-order time autocorrelation stochastic process with zero mean in the longitudinal direction, and the Singer+constant acceleration interactive multiple model (IMM) is used in the lateral direction. The unbiased measurement transformation is introduced to transform the radar observation model in spherical coordinate system to Cartesian coordinate system, which avoids the nonlinear filtering of the model. Finally, based on the existing Kalman filtering, an adaptive Kalman filtering algorithm based on multiple fading factors is designed to enhance the adaptive tracking ability of the model for strong maneuvers. The simulation results show that the algorithm can keep better stability and tracking accuracy when tracking hypersonic gliding target.

Key words: near space, hypersonic vehicle, three dinensional (3D) tracking, filtering algorithm, interactive multiple model (IMM)

CLC Number:

TN957

Junbiao ZHANG, Jiajun XIONG, Xuhui LAN, Fan LI, Wenjian LIU, Qiushi XI. 3D tracking algorithm of hypersonic gliding target based on adaptive filtering[J]. Systems Engineering and Electronics, 2022, 44(2): 628-636.

Figures/Tables 9

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References 26

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算法	位置误差/m			速度误差/(m·s^-1)
算法	纵向弹道	横向弹道	总误差	速度误差/(m·s^-1)
CA+CV+CS的IMM滤波	337	353	690	81
文献[10]所提算法	128	167	295	62
本文运动模型+卡尔曼滤波	126	162	288	60
本文算法	120	81	201	44

算例	量测参数
算例	量测误差协方差	采样周期
1	R	T
2	2R	T
3	R	2T
4	2R	2T

算例	误差
算例	位置/m	速度/(m·s^-1)
1	201	44
2	324	65
3	367	73
4	441	82

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3D tracking algorithm of hypersonic gliding target based on adaptive filtering

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