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Cooperative navigation of vehicles using mutual retransmission of GNSS's signals

机译:通过相互转发GNSS信号进行车辆的协同导航

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Transportation is important part of economics, and like other industries transportation is being under intensive automation, so there is hard request for improvement of navigation systems performance. One of the possible ways of such improvements is so called “cooperative navigation” which is based on joint processing of navigation parameters. Here we study a novel approach to joint processing of raw GNSS (global navigation satellite systems) measurements and resulting cooperative navigation of swarm of vehicles. Our approach is based on retransmission of received GNSS signals by a vehicle. Surrounding vehicles receive direct GNSS signals and retransmitted GNSS signals. Joint processing of direct and retransmitted signals leads to estimation of relative baseline vector between pair of vehicles. This can be done even with two GNSS signals, and that is very suitable for navigation in urban canyon. The obtained mutual baseline vector is used to track relative movement of pair of vehicles and to warn possible collision danger. The paper discusses features of proposed approach and relation between uncertainty of raw GNSS measurements and uncertainty of resulting mutual positioning.
机译:运输是经济学的重要组成部分,并且与其他行业一样,运输也处于高度自动化中,因此对提高导航系统性能提出了很高的要求。这种改进的一种可能方式是所谓的“合作导航”,它基于导航参数的联合处理。在这里,我们研究了一种对原始GNSS(全球导航卫星系统)测量值进行联合处理以及由此产生的车辆群协同导航的新型方法。我们的方法基于车辆对接收到的GNSS信号的重传。周围的车辆接收直接的GNSS信号和重发的GNSS信号。直接和重传信号的联合处理导致一对车辆之间相对基线矢量的估计。即使使用两个GNSS信号也可以做到这一点,非常适合在城市峡谷中导航。所获得的共同基线向量用于跟踪车辆对的相对运动并警告可能的碰撞危险。本文讨论了所提出方法的特征以及原始GNSS测量的不确定性与由此产生的相互定位的不确定性之间的关系。

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