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Modular tightly coupled system with clock error estimation for multi-GNSS for road vehicle applications in urban scenarios

机译:带有时钟误差估计的模块化紧密耦合系统,适用于城市场景中道路车辆应用的多GNSS

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In most areas of application of GNSS positioning the use of standalone calculation or loosely coupling is sufficient. With high-end GNSS receivers and high-precision IMUs these algorithms provide a good performance as long as the availability of satellites is adequate. Using GPS gives this condition in many cases. In the automotive area several challenges arise: Urban canyons cause shadowing effects and multipath errors. Besides the receiver and sensors must be affordable and in the line with the budget of vehicle production. So this work investigates the performance improvement of a tightly coupled algorithm using multi-GNSS instead of using only one system. Further it evaluates the approach of a modular update routine. This modularization enables the independent update of different parts of system state vector. To use multi-GNSS separate clock error estimation for each system is made. In the process of evaluation the different position results are compared with broadcast intersystem bias (ISB) where possible.
机译:在GNSS定位的大多数应用领域中,使用独立计算或松散耦合就足够了。使用高端GNSS接收器和高精度IMU,只要卫星的可用性足够,这些算法就可以提供良好的性能。在许多情况下,使用GPS都会出现这种情况。在汽车领域,出现了一些挑战:城市峡谷会引起阴影效应和多径误差。此外,接收器和传感器必须负担得起并且与车辆生产预算相符。因此,这项工作研究了使用多GNSS而不是仅使用一个系统的紧密耦合算法的性能改进。此外,它评估了模块化更新例程的方法。这种模块化实现了系统状态向量不同部分的独立更新。为了使用多GNSS,对每个系统进行单独的时钟误差估计。在评估过程中,将不同的位置结果与广播系统间偏差(ISB)进行比较。

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