| 摘要: |
| 随着弹道武器技术的快速发展，反导系统对反导的响应时间提出了更高的要求，其中导弹目标的快速精准定位在缩短响应时间中起到关键作用。现有目标定位方案多依赖单装设备来完成，导致无法快速匹配任务需求，若能利用广泛分布的空天传感器装备协同工作将有望提升任务执行效能。因此，如何在有限资源下合理协同规划多传感器以完成多样化的导弹目标定位成为关键问题。然而，空天传感器间存在探测机理的本质不同，导致对其的统一任务规划存在难度。针对上述问题，提出了面向多阶段协作反导的分布式异质传感器任务规划方法。将传感器的功率资源分配策略与任务调度方案作为联合优化变量，构造反导全流程中多阶段的定位精度需求、功率限制等核心约束，建立目标定位时间最小化的数学优化模型。针对模型包含非凸约束和分式非凸目标函数的复杂问题，设计了一种分步迭代算法在多项式时间内完成了目标变量的优化求解。仿真结果表明，相较于传统的单种传感器框架，模型在导弹上升段有效缩减定位时间约12.25%。 |
| 关键词: 反导系统 异质传感器 任务规划 资源分配 非凸优化 |
| DOI：10.20079/j.issn.1001-893x.251106001 |
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| 基金项目:国家自然科学基金资助项目（ 62401483）；中国博士后科学基金项目（2024M752675, 2025T180957）；四川省自然科学基金项目（2025ZNSFSC1446） |
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| Distributed Heterogeneous Sensor Task Planning Method for Multi-stage Cooperative Missile Defense |
| ZHANG Jingyuan,LIU Xinyu |
| (School of Information Science and Technology,Southwest Jiaotong University,Chengdu 611756,China) |
| Abstract: |
| With the rapid development of ballistic missile technology, missile defense systems are facing increasingly stringent requirements on response time. Rapid and accurate localization of missile targets plays a critical role in shortening this response time.Existing target localization schemes mostly rely on standalone equipment, which renders them incapable of rapidly matching mission requirements. If the widely distributed space-air sensor assets can be leveraged for collaborative operation, it is expected to significantly improve the mission execution efficiency.To this end, efficient coordination and planning of multiple sensors under limited resource conditions have become key challenges in achieving diversified missile target localization. The fundamental heterogeneity in sensing mechanisms among spaceborne and airborne sensors further complicates unified task planning.The authors propose a distributed heterogeneous sensor task planning method for multi-stage cooperative missile defense. The proposed approach jointly optimizes sensor power resource allocation and task scheduling strategies. By incorporating multi-stage localization accuracy requirements and power constraints across the missile defense engagement process, a mathematical optimization model is formulated to minimize target localization time.To address the non-convex constraints and fractional non-convex objective function inherent in the model, a stepwise iterative algorithm is developed to efficiently obtain the optimal solution within polynomial time. Simulation results demonstrate that, compared with conventional single-sensor frameworks, the proposed model reduces localization time by approximately 12.25% during the missile boost phase. |
| Key words: anti-missile system heterogeneous sensor task planning resource allocation nonconvex optimization |
《电讯技术》编辑部 