航空学报 > 2026, Vol. 47 Issue (S1): 733006-733006   doi: 10.7527/S1000-6893.2025.33006

多拦截器异构视场协同覆盖优化方法

冯贤海1, 李炯2, 赵岩2, 叶继坤2()   

  1. 1.空军工程大学 研究生院,西安 710051
    2.空军工程大学 防空反导学院,西安 710051
  • 收稿日期:2025-10-31 修回日期:2025-11-08 接受日期:2025-12-15 出版日期:2025-12-25 发布日期:2025-12-23
  • 通讯作者: 叶继坤 E-mail:jikunbo@sina.com

Multiple interceptors cooperative coverage optimization method with heterogeneous field-of-view

Xianhai FENG1, Jiong LI2, Yan ZHAO2, Jikun YE2()   

  1. 1.Graduate School,Air Force Engineering University,Xi’an 710051,China
    2.Air Defense and Antimissile School,Air Force Engineering University,Xi’an 710051,China
  • Received:2025-10-31 Revised:2025-11-08 Accepted:2025-12-15 Online:2025-12-25 Published:2025-12-23
  • Contact: Jikun YE E-mail:jikunbo@sina.com

摘要:

针对跨域无人飞行器(CDUAV)探测跟踪误差较大导致的中末制导交接班难题,提出一种基于目标轨迹预测误差管道建模的多拦截器异构视场协同覆盖优化方法。首先,通过分析目标轨迹预测误差来源,基于误差传播理论采用参数化建模方式构建目标轨迹预测误差管道模型,并计算中末制导交接班时刻目标高概率区域;其次,将中末制导交接班目标捕获问题转化为多个异构视场对目标高概率区域的几何覆盖优化问题,建立了完全覆盖约束条件下的拦截器组合成本最低目标函数;最后,采用遗传算法求解最优拦截器组合配置及最优覆盖点。仿真实验结果表明,提出的参数化建模方法相比传统蒙特卡洛统计方法在目标高概率区域估算方面具有显著的计算效率优势,所提覆盖优化方法能够有效处理多拦截器异构视场配置及最佳覆盖点的联合优化问题,为跨域无人飞行器的辅助防御决策,以及提高中末制导交接班成功率提供了理论支撑。

关键词: 轨迹预测, 多拦截器协同, 异构视场, 中末制导交接班, 覆盖优化

Abstract:

To address the challenge of mid-terminal guidance handover caused by substantial detection and tracking errors of Cross-Domain Unmanned Aerial Vehicles (CDUAV), this paper proposes an optimisation method for cooperative coverage across multi-interceptors with heterogeneous field-of-view based on target trajectory prediction error pipeline modelling. First, by analyzing the sources of target trajectory prediction errors, a parameterized target prediction error pipeline model is constructed through parametric modelling based on error propagation theory, and the high-probability target regions at the handover between mid-terminal guidance is calculated. Second, the target acquisition problem during handover is transformed into a geometric coverage optimisation problem for multi-interceptor with heterogeneous field-of-view over these high-probability regions. A minimised objective function for interceptor combinations is established under full coverage constraints. Finally, a genetic algorithm is employed to determine the optimal interceptor combination configuration and optimal coverage points. Simulation results demonstrate that the proposed parametric modelling approach exhibits significant computational efficiency advantages over traditional Monte Carlo statistical methods in estimating high-probability target regions. The coverage optimisation method effectively addresses the joint optimisation of multi-interceptor heterogeneous field-of-view configurations and optimal coverage points, providing theoretical support for assisting defence decision-making against CDUAV and enhancing the success rate of the handover between mid-terminal guidance.

Key words: trajectory prediction, multiple interceptors cooperative, heterogeneous field-of-view, handover between mid-terminal guidance, coverage optimization

中图分类号: