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| 面向非饱和多目标任务的异构飞行器快速决策方法 |
| A Rapid Decision-Making Method for Heterogeneous Flight Vehicle in Unsaturated Multi-Objective Tasks |
| 投稿时间:2026-07-14 修订日期:2026-07-31 |
| DOI: |
| 中文关键词: 火力筹划 武器目标分配 毁伤效能评估 扩散模型 混沌多项式 |
| English Keywords:Firepower planning weapon-target assignment damage evaluation diffusion model polynomial chaos |
| 基金项目:国家自然科学基金资助项目 |
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| 中文摘要: |
| 针对传统多弹多目标火力筹划中毁伤建模粗略、忽略圆概率误差(CEP)与目标位置误差(TEP)等不确定性,且难以高效处理附带毁伤与非饱和打击的问题,本文提出一种双层火力筹划框架。上层通过目标分组考虑附带毁伤,建立非饱和条件下的武器-目标分配(WTA)模型;下层基于分组方案独立开展瞄准点优化(AO)。引入能量栅格化表征与增强型条件扩散模型(PGen-CDM),实现多弹种协同下战斗部威力场的精确快速生成,并结合混沌多项式(PC)方法传播不确定性,快速计算毁伤期望。仿真表明,所提方法筹划效果优于传统一体化优化方法,且计算量降低99%以上。 |
| English Summary: |
| Traditional multi-projectile multi-target firepower planning suffers from oversimplified damage modeling, neglected uncertainties (CEP; TEP), and inefficient handling of collateral damage and unsaturated strikes. This paper proposes a dual-layer framework: the upper layer builds a Weapon-Target Assignment (WTA) model under unsaturated conditions, incorporating collateral damage via target grouping, and the lower layer performs Aimpoint Optimization (AO) per group. An energy-grid representation with an enhanced conditional diffusion model (PGen-CDM) rapidly generates warhead power fields, while the Polynomial Chaos (PC) method propagates uncertainty to compute expected damage. Simulations show the method outperforms traditional integrated optimization while cutting computational cost by over 99%. |
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