系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (5): 999-1006.doi: 10.3969/j.issn.1001-506X.2020.05.05

• 电子技术 • 上一篇    下一篇

基于目标机动模式识别的VSMM算法

陈星1(), 李战武1,2(), 徐安1(), 胡晓东1()   

  1. 1. 空军工程大学航空工程学院, 陕西 西安 710038
    2. 西北工业大学电子信息学院, 陕西 西安 710072
  • 收稿日期:2019-07-25 出版日期:2020-04-30 发布日期:2020-04-30
  • 作者简介:陈星 (1995-),男,硕士研究生,主要研究方向为航空火力指挥与控制工程。E-mail:cx312kgd@163.com|李战武 (1978-),男,教授,博士,主要研究方向为航空火力控制理论与工程研究、系统仿真建模仿真。E-mail:afeulzw@189.cn|徐安 (1984-),男,讲师,博士,主要研究方向为人工智能控制与应用。E-mail:xuanot@163.com|胡晓东 (1976-),男,硕士研究生,主要研究方向为航空火力指挥与控制工程。E-mail:3250719737@qq.com

VSMM algorithm based on target maneuver pattern recognition

Xing CHEN1(), Zhanwu LI1,2(), An XU1(), Xiaodong HU1()   

  1. 1. College of Aeronautics Engineering, Air Force Engineering University, Xi'an 710038, China
    2. College of Electronic Communication, North-western Polytechnical University, Xi'an 710072, China)
  • Received:2019-07-25 Online:2020-04-30 Published:2020-04-30

摘要:

针对定结构多模型在高机动目标跟踪算法中存在计算量大、计算时间长、难以满足系统实时性等问题,提出了基于目标机动模式识别的变结构多模型算法。该算法能够选取与目标运动状态相匹配的模型集合,具有时变性、自适应性的优点。通过运用少量的运动模型组成一个模型组,然后不同的运动模型组合形成不同的模型组,以模型组代替原先定结构模型中的多模型,根据跟踪检测到的目标运动模式来选择是否更换模型组,从而用少量运算得到较为精确的次优解。仿真结果表明,该算法在跟踪强机动目标中不但能够有效降低计算量,而且可以使模型集合和目标的运动状态更好地匹配,从而提高目标跟踪精度。

关键词: 机动目标跟踪, 变结构多模型, 模式识别, 自适应性

Abstract:

In order to solve the problems of the high maneuvering target tracking algorithm with fixed structure multiple models, which are difficult to meet the real-time requirements of the system, such as large computation amount and long computation time, a variable structure multiple model (VSMM) algorithm based on the target maneuvering pattern recognition is proposed. This algorithm can select the model set that matches the target motion state, and has the advantages of time-varying and self-adaptive. By using a small number of motion models to form a model group, and then combining different motion models to form different model groups, the proposed algrithm replaces the multiple models in the original fixed structure model with the model group, and selects whether to replace the model group according to the detected target motion pattern, so as to obtain a more accurate suboptimal solution with a small number of operations. The simulation results show that the algorithm can not only reduce the computational burden effectively, but also make the model set and the motion state of the target better matched, so as to improve the tracking accuracy of the target.

Key words: maneuvering target tracking, variable structure multiple model(VSMM), pattern recognition, adaptive

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