摘要
针对未知环境中多无人机协同搜索的信息融合问题进行研究,建立了环境模型及无人机搜索模型,在此基础上,提出基于D-S证据理论的无人机协同搜索信息融合方法。在协同搜索中运用该方法不仅能够快速发现目标,并能有效识别不同性质的目标。将该方法与传统的贝叶斯融合方法分别应用于多无人机协同搜索决策中,通过比较仿真结果验证了D-S信息融合方法的有效性及优越性。
The problem of information fusion in cooperative search for unknown area by a team of Uninhabited Air Vehicles(UAVs) is studied.An approach of search information fusion is proposed based on D-S theory considering the environment model and UAV's search model.Different kinds of targets can be found rapidly and distinguished effectively by using this approach.This algorithm is compared with Bayesian based information fusion approach in simulations,the results illustrate the effectiveness and superiority of D-S approach.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第26期228-231,共4页
Computer Engineering and Applications
基金
航空科学基金项目
关键词
无人机
协同搜索
信息融合
D-S理论
Uninhabited Air Vehicles(UAV)
cooperative search
information fusion
D-S theory