1.北京遥感设备研究所,北京 100854
2.北京理工大学 机电学院,北京 100081
邮箱:3120195173@bit.edu.cn
收稿:2026-02-28,
修回:2026-08-24,
录用:2026-05-21,
网络首发:2026-09-03,
纸质出版:2026-09-30
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梁晨,申强,邓子龙等.融合方案弹道信息的弹丸轨迹估计方法[J].兵工学报,2026,47(09):260182.
LIANG Chen,SHEN Qiang,DENG Zilong,et al.Projectile Trajectory Estimation Method Integrating Scheme Trajectory Information[J].ACTA ARMAMENTARII,2026,47(09):260182.
梁晨,申强,邓子龙等.融合方案弹道信息的弹丸轨迹估计方法[J].兵工学报,2026,47(09):260182. DOI: 10.12382/bgxb.2026.0182.
LIANG Chen,SHEN Qiang,DENG Zilong,et al.Projectile Trajectory Estimation Method Integrating Scheme Trajectory Information[J].ACTA ARMAMENTARII,2026,47(09):260182. DOI: 10.12382/bgxb.2026.0182.
针对二维弹道修正组件在真实飞行环境下定位测速易受干扰,导致导航精度下降的问题,提出一种融合方案弹道信息的弹丸轨迹估计方法。在弹丸飞行过程中引入6自由度弹道方程推导的方案弹道信息,与接收机提供的位置速度信息共同作为观测量,实时参与解算弹道轨迹信息。通过计算方案弹道和接收机的新息值与新息协方差矩阵,构建二者的权重似然函数,加权融合不同观测方式的测量结果,实现飞行全程的弹丸轨迹融合估计,从而减缓只依靠接收机信息造成的误差影响。仿真实验表明:所提方法相较于对比方法具有更高的估计效果,位置估计精度相对于常规方法提升40%,速度估计精度相对于常规方法提升43%;该方法可以有效提升修正组件只能依靠接收机进行弹丸轨迹估计的精度,为后续的制导控制打下基础。
To address the problem that the positioning and velocity measurement of the two-dimensional trajectory correction kit is susceptible to interference in the actual flight environment, which leads to the degradation of navigation accuracy, this paper proposes a projectile trajectory estimation method fused with programmed trajectory information.During the flight of the projectile, the programmed trajectory information derived from the 6-degree-of-freedom ballistic equation was introduced, and was adopted as observations together with the position and velocity information provided by the satellite receiver, to participate in the real-time solution of the projectile trajectory information. By calculating the innovation values and innovation covariance matrices of the programmed trajectory and the satellite receiver, a weighted likelihood function for the two was constructed to realize the weighted fusion of the measurement results from different observation modes, and the fusion estimation of the projectile trajectory throughout the full flight process was achieved, thus mitigating the error impact caused by relying solely on the receiver information. Simulation experiments were conducted, and the results show that the algorithm proposed in this paper has better estimation performance than the comparison algorithms: the position estimation accuracy is improved by 40% compared with the conventional method, and the velocity estimation accuracy is improved by 43% compared with the conventional method. The method proposed in this paper can effectively improve the accuracy of projectile trajectory estimation for the correction kit when it relies solely on the satellite receiver, and lays a solid foundation for the subsequent guidance and control.
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