空域频域不确定条件下电磁探测卫星规划方法研究

摘要

Electronmgnetic detection satellite(EDS) holds a signifncantly inportant role in the rields of artiterrorism and salvage.Considering the uncertainties of tho electnmmgnetic detection satellite area search tasks in space-frequency domain, the urmemain factors'quantitative descripton models of the EDS area search problem(EDSASP) were proposed. So were the decision element' models. An EDS task scheduling technique based on Bayesian decision-making was put forward, and the EDS scheduling model in uncertain spacefrequency domain environments was also established, aiming to optimize the objectives of the information detecting rewan:l and the front interception reward. The simulation instances demonstrate that the technique can effectively deal with the EDS detecting problem and the performance goes on well.%电磁探测卫星对区域目标的覆盖搜索在反恐及海上搜救等领域发挥着重要作用.针对电磁探测卫星区域搜索任务中存在的空域频域不确定性,构建了电磁探测卫星区域搜索问题(EDSASP)中不确定因素的量化描述模型及决策要素模型,提出了基于贝叶斯决策的电磁卫星任务规划方法,并以信息探测收益和前端截获收益为优化目标,建立了空域频域不确定条件下电磁探测卫星规划问题的数学模型.仿真实例表明,该方法能够有效解决空域频域不确定条件下多星搜索探测问题,并且性能良好.