航空学报 > 2015, Vol. 36 Issue (6): 1983-1994   doi: 10.7527/S1000-6893.2014.0318

临近空间高超声速滑跃式轨迹目标跟踪技术

张翔宇, 王国宏, 李俊杰, 盛丹   

  1. 海军航空工程学院 信息融合研究所, 烟台 264001
  • 收稿日期:2014-05-19 修回日期:2014-09-03 出版日期:2015-06-15 发布日期:2014-12-24
  • 通讯作者: 张翔宇 Tel.: 0535-6635087 E-mail: zxy627289467@sina.com E-mail:zxy627289467@sina.com
  • 作者简介:张翔宇 男, 博士, 助理工程师。主要研究方向: 机动目标跟踪, 信息融合。 Tel: 0535-6635087 E-mail: zxy627289467@sina.com;王国宏 男, 博士, 教授, 博士生导师。主要研究方向: 信息融合, 雷达组网。 E-mail: wangguohong@vip.sina.com;李俊杰 男, 硕士, 助理工程师。主要研究方向:机动目标跟踪,信息融合。 E-mail: lijunjie@sina.com;盛丹 女, 博士, 助理工程师。主要研究方向: 信息融合。 E-mail: 2855221900@qq.com
  • 基金资助:

    国家自然科学基金 (61372027, 61102167, 61102165)

Tracking of hypersonic sliding target in near-space

ZHANG Xiangyu, WANG Guohong, LI Junjie, SHENG Dan   

  1. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Received:2014-05-19 Revised:2014-09-03 Online:2015-06-15 Published:2014-12-24
  • Supported by:

    National Natural Science Foundation of China (61372027, 61102167, 61102165)

摘要:

针对临近空间目标飞行速度快、机动特性强和加速度突变的特性,提出一种地心直角(ECEF)坐标系下基于目标特性分析的修正强跟踪滤波(MSTF)算法。首先,通过对ECEF坐标系下目标量测的无偏转化处理,以有效减小目标高超声速飞行所带来的旋转、平移和线性化误差影响;接着,在对目标特性充分分析的基础上,合理构建强跟踪滤波(STF)模型,通过对模型参数的自适应调节,以有效实现临近空间高超声速滑跃式轨迹目标的精确跟踪;最后,结合统计学原理对目标加速度的突变进行合理检测和补偿,以进一步修正强跟踪滤波模型的跟踪精度。仿真结果表明,与现有的临近空间目标跟踪算法相比,该算法具有较高的定位跟踪精度。

关键词: 临近空间, 高超声速, 滑跃, 机动目标, 跟踪

Abstract:

According to the characteristics of hypersonic speed, strong maneuvering and acceleration gust of near-space target, a modified strong tracking filter (MSTF) algorithm based on the target characteristic analysis is proposed under the Earth centered Earth fixed (ECEF) coordinate system. For this method, unbiased transformation is used to reduce the influence of rotation, translation and linearization errors of the hypersonic target under the ECEF coordinate system firstly. Then based on the full analysis of target characteristics, a strong tracking filter (STF) model is developed to track the near-space hypersonic sliding target by changing the model parameters adaptively. Finally, reasonable detection and compensation of acceleration gust are performed to further modify the tracking accuracy of the STF model. Simulation results show that near-space target tracking can be finished more effectively than the existing methods by using the proposed algorithm.

Key words: near-space, hypersonic, sliding, maneuvering target, tracking

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