首页> 外文会议>Proceedings of the Institute of Navigation 2011 international technical meeting >Odometer-Aided Real Time Cycle Slip Detection Algorithm for Land Vehicle Users
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Odometer-Aided Real Time Cycle Slip Detection Algorithm for Land Vehicle Users

机译:里程表辅助的陆地车辆用户实时周期滑移检测算法

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The GNSS technology can be utilized for variousrnapplications and especially for land vehicle applicationrnincluding the car navigation, since it is closely related tornour everyday lives, many researches focus on the aspectrnof safety, for example, collision warning, and monitoringrnvehicles carrying hazardous materials. These researchesrnare generally based on the precise positioning which canrndistinguish lanes on the road and need precise map. Thisrnis because dangerous situations are usually determined byrnthe fact whether a vehicle deviates from its lane or not.rnFor positioning which can distinguish lanes on highway,rncarrier-phase based positioning method, such as RTK andrnNetwork RTK, should be used. However, the positioningrnaccuracy of RTK and Network RTK can be easilyrndegraded by cycle slips in carrier-phase measurements.rnThis paper focuses on a new cycle slip detectionrnalgorithm especially for land vehicle application. The newrncycle slip detection algorithm uses odometer and it can bernapplied to single to multiple frequency receivers. Sincernodometers are already installed in every vehicle, there isrnno need to equip additional INS modules to utilize thisrnalgorithm. The proposed algorithm has no shadow cyclernslips set problem (Song, J. 2010), and can be applied forrnL1 and L2 frequency distinctively.rnIn practice, proposed algorithm can be readily appliedrnto land vehicle users for checking cycle slip detectionrnbefore positioning. Just few lines of programming isrnneeded to implement this algorithm, therefore it can bernused to many land vehicle navigation applications such asrnmonitoring vehicle carrying hazardous materials andrnautonomous driving.
机译:GNSS技术可用于各种应用,尤其是包括汽车导航在内的陆地车辆应用,因为它与人们的日常生活息息相关,因此许多研究都集中在安全方面,例如碰撞警告和监视危险物质的车辆。这些研究通常基于精确的定位,可以区分道路上的车道并需要精确的地图。这是因为危险情况通常由车辆是否偏离其车道的事实来确定。对于要区分高速公路上车道的定位,应使用基于载波相位的定位方法,例如RTK和NetworkRTK。然而,RTK和网络RTK的定位精度很容易通过载波相位测量中的周跳来降低。本文重点研究了一种新的周跳检测算法,特别是针对陆地车辆的应用。新的周跳检测算法使用里程表,可以应用于单频到多频接收机。由于已经在每辆车中安装了里程表,因此无需配备其他INS模块即可使用该算法。所提出的算法没有阴影周期滑移集的问题(Song,J. 2010),并且可以分别适用于L1和L2频率。只需很少的编程代码即可实现该算法,因此可将其用于许多陆地车辆导航应用,例如监控运载有害物质的车辆和自动驾驶。

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