沈阳工业大学学报（社会科学版）2026，Vol.19Issue(2)：68-78,11.DOI:10.7688/j.issn.1674-0823.2026.02.08
面向地对空防御的分布式协同任务规划研究
Distributed cooperative mission planning study for ground-to-air defense
摘要
Abstract
Facing the challenges of large-scale heterogeneous collaboration and communication constraints in ground-to-air defense systems under strong adversarial environments,this paper proposes a hierarchical distributed cooperative mission planning framework.In the pre-combat stage,a distributed asynchronous multi-round auction(DAMA)algorithm based on a block information sharing strategy is designed.Through a virtual node negotiation mechanism,it breaks through the resource allocation bottleneck under partially connected communication topologies,reducing communication overhead by approximately 38％while ensuring global consistency in allocation.During the combat stage,an improved multi-agent deep deterministic policy gradient(IM-MADDPG)decision model integrating a multi-head attention mechanism and asynchronous experience update is constructed.This model enhances the relational modeling capability of local neighborhood features and effectively alleviates the oscillation problem in policy learning under complex game environments.Simulation results show that the proposed method achieves a static mission completion rate of 96.8％±1.2％,and the dynamic interception success rate and asset survival rate increase to 89.6％±1.5％and 91.2％±1.3％,respectively.It realizes closed-loop optimization from resource pre-positioning to real-time gaming,providing theoretical support for the construction of intelligent defense systems in communication-constrained environments.关键词
任务规划/分布式协同/地对空防御/博弈论/多轮拍卖算法/多智能体强化学习Key words
mission planning/distributed cooperation/ground-to-air defense/game theory/multi-round auction algorithm/multi-agent reinforcement learning分类
管理科学引用本文复制引用
陈文波,宫华..面向地对空防御的分布式协同任务规划研究[J].沈阳工业大学学报（社会科学版）,2026,19(2):68-78,11.基金项目
辽宁省社会科学规划基金重点项目(L23AJY004) （L23AJY004）
辽宁省科学技术协会科技创新智库项目(LNKX2025CY25). （LNKX2025CY25）
