电讯技术2025，Vol.65Issue(12)：2015-2021,7.DOI:10.20079/j.issn.1001-893x.251106001
面向多阶段协作反导的分布式异质传感器任务规划方法
Distributed Heterogeneous Sensor Task Planning Method for Multi-stage Cooperative Missile Defense
摘要
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.关键词
反导系统/异质传感器/任务规划/资源分配/非凸优化Key words
anti-missile system/heterogeneous sensor/task planning/resource allocation/nonconvex optimization分类
信息技术与安全科学引用本文复制引用
ZHANG Jingyuan,LIU Xinyu..面向多阶段协作反导的分布式异质传感器任务规划方法[J].电讯技术,2025,65(12):2015-2021,7.基金项目
国家自然科学基金资助项目(62401483) （62401483）
中国博士后科学基金项目(2024M752675,2025T180957) （2024M752675,2025T180957）
四川省自然科学基金项目(2025ZNSFSC1446) （2025ZNSFSC1446）
