首页> 外文会议>International Conference on Unmanned Systems >Observability Enhancement of the Target Tracking Model Based on Infrared Semi-strapdown Seeker
【24h】

Observability Enhancement of the Target Tracking Model Based on Infrared Semi-strapdown Seeker

机译:基于红外半捷联搜索器的目标跟踪模型的可观察性增强

获取原文

摘要

As an important device for target interception, The seeker is used to search, recognize and track the target autonomously. Infrared semi-strapdown seekers are widely used in applications due to their low cost and small size. However, one non-negligible disadvantage of semi-strapdown infrared seekers is that the observability of target tracking model is poor, especially for the interception of high-speed maneuvering weapons. In this paper, the target tracking model ( i.e., the filtering estimation model) based on the infrared simi-strapdown seeker is established. The observability of the target tracking model is analyzed and the evaluation method of the observability is studied. Simulation results show that the observability of the filtering estimation model can be improved by increasing the relative motion between missile and target which results in faster changes of the line-of-sight (LOS) angle. According to the results on the observability analysis, the desired trajectory is obtained through the design of proper guidance law. Nonlinear filtering algorithm is also introduced for the trajectory design. Simulation experiments are conducted for the integrated filtering and guidance, and simulation results illustrate the effectiveness of the proposed observability enhancement method.
机译:作为目标拦截的重要设备,搜寻器用于自主搜索,识别和跟踪目标。红外半捷联导引器由于其低成本和小尺寸而被广泛用于应用中。但是,半捷联红外导引头的一个不可忽视的缺点是目标跟踪模型的可观察性较差,特别是对于高速机动武器的拦截而言。在本文中,建立了基于红外simi-strapdown搜寻器的目标跟踪模型(即滤波估计模型)。分析了目标跟踪模型的可观察性,研究了可观察性的评估方法。仿真结果表明,可以通过增加导弹与目标之间的相对运动来改善滤波估计模型的可观察性,从而可以更快地改变视线(LOS)角。根据可观察性分析的结果,通过设计适当的制导律可以获得所需的轨迹。轨迹设计还引入了非线性滤波算法。进行了综合滤波和制导的仿真实验,仿真结果说明了所提可观察性增强方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号