弹道学报2025，Vol.37Issue(3)：25-32,8.DOI:10.12115/ddxb.2024.05008
基于SR-CDKF滤波的弹道目标雷达跟踪算法研究
Research on a Ballistic Radar Target Tracking Algorithm Based on SR-CDKF Filter
贲思铭 1马国梁 2许立松 1于睿1
作者信息
- 1. 南京理工大学 自动化学院,江苏 南京 210094
- 2. 南京理工大学 能源与动力工程学院,江苏 南京 210094
- 折叠
摘要
Abstract
Traditional radar tracking of ballistic targets often employs the α-β-γ filtering method due to its simplicity and low computational requirements.However,its filtering accuracy can be insufficient for satisfying the demands of high-speed and nonlinear projectile trajectories.To address this issue,a radar tracking algorithm for ballistic targets was proposed based on the square root central difference Kalman filter(SR-CDKF),enhancing both accuracy and robustness.The radar trajectory measurement problem was first formulated,and a radar measurement equation along with a particle-based ballistic model for high-speed projectile was established in the launch coordinate system.The continuous trajectory equations were then discretized to derive a discrete state-space model suitable for real-time filtering.The principles and implementation procedures of both the α-β-γ filter and the SR-CDKF were discussed in detail.While the α-β-γ filter assumes a simplified motion model,the SR-CDKF considers system nonlinearities and improves numerical stability through square root decomposition.In addition to estimating key ballistic parameters,the SR-CDKF also estimates the conformity coefficient of the drag coefficient,thus enhancing the algorithm's robustness against model inaccuracies.Simulation experiments were conducted using both the SR-CDKF and α-β-γ filtering methods under identical conditions,focusing on trajectory parameter estimation and impact point prediction.Comparative results show that the SR-CDKF offers significantly higher filtering accuracy and better robustness,effectively meeting radar tracking requirements for high-speed ballistic target.关键词
弹道目标/雷达跟踪/α-β-γ滤波/SR-CDKF滤波/阻力系数Key words
ballistic target/radar tracking/α-β-γ filter/SR-CDKF filter/drag coefficient分类
军事科技引用本文复制引用
贲思铭,马国梁,许立松,于睿..基于SR-CDKF滤波的弹道目标雷达跟踪算法研究[J].弹道学报,2025,37(3):25-32,8.
