电子学报 ›› 2018, Vol. 46 ›› Issue (9): 2212-2221.DOI: 10.3969/j.issn.0372-2112.2018.09.024

• 学术论文 • 上一篇    下一篇

临近空间高超声速跳跃式滑翔目标跟踪模型

李凡1, 熊家军2, 李冰洋3, 兰旭辉2, 喻晨龙1, 叶泽浩1   

  1. 1. 空军预警学院研究生大队, 湖北武汉 430019;
    2. 空军预警学院四系, 湖北武汉 430019;
    3. 武汉船舶职业技术学院机械工程学院, 湖北武汉 430050
  • 收稿日期:2017-07-04 修回日期:2017-10-13 出版日期:2018-09-25 发布日期:2018-09-25
  • 作者简介:李凡 男,1992年生于湖南凤凰.现为空军预警学院在读博士研究生.研究方向为预警情报分析、机动目标跟踪.E-mail:1746338543@qq.com;熊家军 男,1961年生于湖北天门.现为空军预警学院教授、博士生导师.研究方向为预警情报分析、数据融合.E-mail:jiajunxiong@yahoo.com.cn;李冰洋 男,1998年生于辽宁凌海.现为武汉船舶职业技术学院机械工程学院学生.研究方向为自动控制理论.E-mail:2517171140@qq.com;兰旭辉 男,1976年生于四川蓬安.现为空军预警学院副教授、研究生导师.研究方向为数据挖掘、数据融合.E-mail:4517665@qq.com;喻晨龙 男,1989年生于湖北应城.现为空军预警学院在读博士研究生.研究方向为临近空间高超声速目标预警探测体系构建.E-mail:342583844@qq.com;叶泽浩 男,1991年生于浙江慈溪.现为空军预警学院在读硕士研究生.研究方向为临近空间高超声速目标航迹规划、航迹预测.E-mail:1538894828@qq.com
  • 基金资助:
    国防863计划项目(No.2015AA7056045);国家自然科学基金青年基金项目(No.61401504)

A Tracking Model for Near Space Hypersonic Jumping Gliding Target

LI Fan1, XIONG Jia-jun2, LI Bing-yang3, LAN Xu-hui2, YU Chen-long1, YE Ze-hao1   

  1. 1. Department of Graduate of Air Force Early Warning Academy, Wuhan, Hubei 430019, China;
    2. Fourth Department of Air Force Early Warning Academy, Wuhan, Hubei 430019, China;
    3. College of Mechanical Engineering, Wuhan Vocation Institute of Shipping Technology, Wuhan, Hubei 430050, China
  • Received:2017-07-04 Revised:2017-10-13 Online:2018-09-25 Published:2018-09-25

摘要: 针对临近空间高超声速跳跃式滑翔目标跟踪问题,在分析目标运动特性的基础上提出了一种二阶时间相关的新型机动跟踪模型,该模型的核心是将加速度作为具有衰减振荡自相关的零均值随机过程,并据此构建了跟踪临近空间高超声速跳跃式滑翔目标的状态方程;为进一步分析模型的运动适应性,结合卡尔曼滤波算法推导了模型的系统动态误差稳态值,从模型参数取值的角度探讨了模型的适应性问题;为提高模型参数设计的合理性,分析了模型中两个参数的对应关系,并给出了参数设计的大致参考区间.理论分析表明,模型具备周期性与衰减性的统一,在短时间内主要表现为周期性,在长时间内主要表现为指数衰减性,这一特性提高了对临近空间高超声速跳跃式滑翔运动描述的合理性,此外,该模型跟踪临近空间高超声速跳跃式滑翔目标时的参数理论取值具有较低的系统动态误差稳态值.仿真实验表明与已有的临近空间高超声速目标单噪声机动模型相比,该模型具有较高的跟踪精度;并通过比较不同参数下的仿真结果一定程度说明了参数取值方法的合理性.

关键词: 临近空间, 高超声速飞行器, 目标跟踪, 机动模型, 卡尔曼滤波, 系统动态误差

Abstract: To improve the tracking accuracy of hypersonic jumping gliding target in near space,a new type of maneuvering tracking model with second order time correlation is put forward based on the characteristic analysis of near space hypersonic vehicle target motion,the key of the model is to model target's acceleration as a zero mean random process with attenuation oscillation autocorrelation,and the state equation of tracking the near space hypersonic jumping gliding target is built;in order to further analyze the adaptability of the model,the system dynamic error steady state value of the model is deduced by combining the Kalman filtering algorithm,and the adaptability of the model is discussed from the point of the model parameters;then the relationship between the two parameters in the model is analyzed to improve the rationality of the model parameters,and the approximate reference interval of the parameters are given.The theoretical analysis shows that the model has the unity of periodicity and attenuation,which is mainly expressed as periodic in a short time,and mainly expressed as exponential decay in a long time,these feature improves the rationality of the description of the motion of near space hypersonic jumping gliding target,in addition,the model has a low system dynamic error steady state value when the theoretical value of the model parameters in tracking the near space hypersonic jumping gliding target are obtained.Simulation results show that the model has a higher tracking accuracy when compared with the existing single noise maneuvering model of the near space hypersonic target;and the rationality of the method of parameterization is explained by comparing the simulation results under different parameters.

Key words: near space, hypersonic vehicle, target tracking, maneuvering model, Kalman filtering, system dynamic error

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