mauv的通信延迟协同定位

Yao Yao, Demin Xu, Weisheng Yan
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引用次数: 18

摘要

研究了具有通信延迟的多自主水下航行器(mauv)协同定位问题。定位是机动机器人远程导航的关键环节。在Leader-follower合作结构中,一个主AUV配备高精度导航系统,多个从AUV配备低精度导航系统。为了实现信息共享,车际通信成为协同定位的重要要求。然而,由于水下环境恶劣,迄今为止,声通信仍然是auv面临的一个难题。考虑到通信延迟,设计了一种用于协同定位的延迟扩展卡尔曼滤波器(DEKF),该滤波器将延迟消息经过一些有用的变换后转换为电流。最后给出了仿真结果,验证了所提DEKF算法的优越性和实用性。
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Cooperative localization with communication delays for MAUVs
In this paper, we consider the problem of Cooperative Localization(CL) with communication delays for Multiple Autonomous Underwater Vehicles(MAUVs). Localization is a crucial cycle for long range navigation of MAUVs. In the Leader-follower cooperative structure, one master AUV is equipped with high precision navigation system, and several slaver AUVs are equipped with low precision navigation system. To sharing information, inter-vehicle communication is becoming an important requirement for Cooperative Localization. However, due to the terrible underwater environment, acoustic communication is still a difficult challenge for AUVs until now. Taking into account the communication delays, a Delayed Extended Kalman Filter (DEKF) for Cooperative Localization is designed, where the delayed messages were converted to current after some useful transformations. At the end of this paper, simulation results are provided to prove the superiority and practicality of the proposed DEKF algorithm.
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