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未知环境中无人机协同搜索信息融合方法研究 被引量：1

Research on information fusion method for Multi-UAV cooperative search in unknown environment
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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.
作者 夏欢 周德云 汪凌霄
机构地区 西北工业大学电子信息学院
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
分类号 TP14 [自动化与计算机技术—控制理论与控制工程] O229 [理学—运筹学与控制论]
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参考文献7

  • 1Peng H, Su F,Bu Y L, et al.Cooperative area search for multipie UAVs based on RRT and decentralized receding Horizon optimization[C]//Proceedings of the 7th Asian Control Conference, Hong Kong, China, 2009: 298-303.
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二级参考文献8

  • 1Unmanned Aerial Vehicles Roadmap 2005-2030, Office of the Secretary of Defense, December 2005.
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共引文献33

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二级引证文献7

计算机工程与应用
2011年 第26期

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