首页> 外文会议>International Conference on Electronic Engineering and Information Science >Study on A New Algorithm for Tracking Ballistic Missile in Free Flight Phase
【24h】

Study on A New Algorithm for Tracking Ballistic Missile in Free Flight Phase

机译:在自由飞行阶段跟踪弹道导弹的新算法研究

获取原文

摘要

This paper presents an application of a new adaptive filtering algorithm based on a standard earth ellipsoid model in tracking ballistic missile in free flight phase. The traditional Extended Kalman Filtering algorithm (EKF) has defect in two aspects: 1) observation values applied in observation equation mainly include azimuth, pitch angle and radial distance (or radial velocity), without Doppler frequency;;2) Jacobi matrix of the system needs to be calculated, and high nonlinearization could result in degradation of calculation precision. In this paper, an algorithm used for tracking ballistic missile in free flight phase which is based on UKF observation equation with Doppler frequency is presented. The algorithm has been applied in hybrid coordinate system of the standard earth ellipsoid model (the earth is assumed as an ellipsoid planet). It has higher tracking precision compared with EKF algorithm. Monte Carlo simulation conducted to model ballistic missile in free flight phase by using MATLAB software justified the efficacy and the reasonableness of the new algorithm.
机译:本文介绍了一种基于标准地球椭球模型的新自适应滤波算法在游击阶段跟踪弹道导弹中的应用。传统的扩展卡尔曼滤波算法(EKF)在两个方面具有缺陷:1)在观察方程中应用的观察值主要包括方位角,俯仰角和径向距离(或径向速度),没有多普勒频率;; 2)系统的Jacobi矩阵需要计算,高非线化可能导致计算精度的退化。本文介绍了一种基于具有多普勒频率的UKF观察方程的自由飞行阶段跟踪弹道导弹的算法。该算法已应用于标准地球椭球模型的混合坐标系(地球被认为是椭圆形行星)。与EKF算法相比,它具有更高的跟踪精度。通过使用MATLAB软件证明新算法的功效和合理性,在自由飞行阶段进行模型弹道导弹进行模型弹道导弹模拟。

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