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Precise Relative Positioning of Vehicles with on-the-fly Carrier Phase Resolution and Tracking

机译:具有实时载波相位分辨率和跟踪功能的车辆精确相对定位

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摘要

Forward collision warning systems, lane change assistants or cooperative adaptive cruise control are examples of safety relevant applications that rely on accurate relative positioning between vehicles. Current solutions estimate the position of an in-front driving vehicle by measuring the distance with a radar sensor, a laser scanner or a camera system. The perception range of these sensors can be extended by the exchange of GNSS information between the vehicles using an inter-vehicle communication link. One possibility is to transmit GNSS pseudorange and carrier phase measurements and compute a highly accurate baseline vector that represents the relative position between two vehicles. Solving for the unknown integer ambiguity is specially challenging for low-cost single-frequency receivers. Using the well-known LAMBDA (Least-squares AMBiguity Decorrelation Adjustment) algorithm, in this paper we present a method for tracking the ambiguity vector solution, which is able to detect and recover from cycle slips and cope with changing satellite constellations. In several test runs performed in real-world open-sky environments with two vehicles, the performance of the proposed Ambiguity Tracker approach is evaluated. The experiments revealed that it is fact possible to track the position of another vehicle with sub-centimeter accuracy over longer periods of time with low-cost single-frequency receivers.
机译:前向碰撞预警系统,变道辅助系统或协作式自适应巡航控制系统是与安全相关的应用的示例,这些应用依赖于车辆之间的准确相对位置。当前的解决方案通过利用雷达传感器,激光扫描仪或照相机系统测量距离来估计前部驾驶车辆的位置。通过使用车辆间通信链路在车辆之间交换GNSS信息,可以扩展这些传感器的感知范围。一种可能性是发送GNSS伪距和载波相位测量值,并计算出高度准确的基线矢量,该基线矢量表示两辆车之间的相对位置。对于低成本单频接收器来说,解决未知整数模糊性特别具有挑战性。本文使用著名的LAMBDA(最小二乘AMBiguity去相关调整)算法,提出了一种跟踪模糊度矢量解的方法,该方法能够检测周跳并从中恢复,并能应对不断变化的卫星星座。在具有两辆车的现实世界露天环境中进行的几次测试运行中,评估了所提出的歧义跟踪器方法的性能。实验表明,使用低成本的单频接收机可以在更长的时间内以亚厘米的精度跟踪另一辆车的位置。

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