舰载直升机搜救区域的选择与优化  

Searching Area Selection and optimization for Carrier-based Helicopter Search and Rescue

作　　者：许玉飞 潘长鹏[2] 王磊[2] 

机构地区：[1]海军航空工程学院研究生管理大队,烟台264001 [2]海军航空工程学院指挥系,烟台264001

出　　处：《舰船电子工程》2016年第12期26-28,126,共4页Ship Electronic Engineering

摘　　要：在舰载直升机执行搜救任务之前,首先要对任务区域进行确定,这就要基于遇险人员海上漂流的轨迹来确定,文章采用基于Monte Carlo的方法建立了预测漂流位置的模型并通过引入一组环境数据进行了仿真,在此基础上运用贝叶斯理论完善了在搜索进行时对目标搜索区域的实时优化选择,为搜救任务的提供决策支持。Searching area is supposed to be determined initially before Carrier-based helicopter starts taking off and car-ries out its SAR mission This area is reliable for the trajectory depends on drift model. A modeling is built based on Monte Carlo to predict the trajectory of searched object and the application of Bayes theory provides algorithm to update probability of each determined area All those works are used to support SAR decision making.

关 键 词：搜救区域 蒙特卡洛 舰载直升机 贝叶斯 

分 类 号：V275.1[航空宇航科学与技术—飞行器设计]