计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (26): 228-231.

• 工程与应用 • 上一篇    下一篇

未知环境中无人机协同搜索信息融合方法研究

夏 欢,周德云,汪凌霄   

  1. 西北工业大学 电子信息学院,西安 710129
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-09-11 发布日期:2011-09-11

Research on information fusion method for Multi-UAV cooperative search in unknown environment

XIA Huan,ZHOU Deyun,WANG Lingxiao   

  1. School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710129,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-09-11 Published:2011-09-11

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。

关键词: 无人机, 协同搜索, 信息融合, D-S理论

Abstract: 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.

Key words: Uninhabited Air Vehicles(UAV), cooperative search, information fusion, D-S theory