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Target Detection-Oriented Model Design for Unmanned Underwater Vehicles

机译:针对无人水下车辆的目标检测型模型设计

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Unmanned underwater vehicles (UUVs) are a kind of marine power multipliers, with extensive and important applications for scientific research. It is out of question that UUVs will play an irreplaceable role in marine detection. In this paper, the issue of model design for UUVs with the purpose of marine detection is studied. A well designed architecture for UUV model is proposed first, which includes the motion control model, the decision model and the detection model. Secondly, the motion control model is described in detail, which satisfies the navigation control for UUVs in three-dimensional space. Thirdly, the detection model based on the active sonar equation is addressed in order to obtain the detected position. The influence factors related to the sonar equation are taken into consideration. Afterwards, a decision model based on the particle filter (PF) is presented in order to improve the accuracy of target detection and ensure the stable and effective tracking. In the end, the detection simulation experiments in typical sea areas are designed. Experimental results prove the reliability and effectiveness of the designed UUV model.
机译:无人驾驶水下车辆(UUV)是一种海洋电力乘法器,具有广泛而重要的科学研究应用。它不存在疑问,UUV将在海洋检测中发挥不可替代的作用。本文研究了具有海洋检测目的的UUV模型设计问题。首先提出了一种用于UUV模型的精心设计的架构,包括运动控制模型,决策模型和检测模型。其次,详细描述了运动控制模型,其满足了三维空间中UUV的导航控制。第三,寻址基于活动声纳方程的检测模型以获得检测到的位置。考虑了与声纳方程相关的影响因素。之后,提出了一种基于粒子滤波器(PF)的决策模型,以提高目标检测的精度并确保稳定且有效的跟踪。最后,设计了典型海域检测模拟实验。实验结果证明了设计的UUV模型的可靠性和有效性。

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