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The precise position and attitude resolution in MMS based on the integration of GPS/INS

机译:基于GPS / INS集成的MMS中的精确位置和姿态分辨率

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This paper proposes an approach to precise position and attitude solution for the land-based MMS using GPS and IMU data. Firstly, the synchronization of time and space in the system are discussed, which establishes the base of GPS/INS integration. Then, a new approach is proposed for performing GPS carrier-phase ambiguity resolution using single-epoch C/A code and dual frequency carrier phase data. Based on the inner correlation of dual frequency carrier phase, a new concept of error strip for double-differenced integer ambiguity in observation field is introduced. With the restriction of the strip, the ambiguities can be determined quickly using only single epoch data with the aid of IMU. The ambiguity solution is very efficient and robust even in rigorous situation, e.g. when the number of visible satellites is less than four. On the base of single epoch GPS ambiguity solution, a new coupling mode for double differential carrier phase GPS and INS is proposed. A multiplex Kalman filter is designed with one error state equation and two different observation equations of loose coupling and tight coupling. To verify the solution, great deals of experiments have been done using 1HZ GPS data and 100HZ IMU data of 1°/h precision level, whose results show that the GPS/INS integration can resolve the position and attitude of the vehicle with the error less than 0.2 meter and 0.1 degree separately.
机译:本文提出了一种基于GPS和IMU数据的地面MMS精确位置和姿态解决方案。首先,讨论了系统中时间和空间的同步,为GPS / INS的集成奠定了基础。然后,提出了一种新的方法,该方法使用单周期C / A码和双频载波相位数据来执行GPS载波相位模糊度解析。基于双频载波相位的内在相关性,提出了一种用于观测场中双差整数模糊度误差带的新概念。借助条带的限制,可以借助IMU仅使用单个历元数据快速确定歧义。歧义解决方案即使在严酷的情况下(例如在极端情况下)也非常有效且健壮。当可见卫星的数量少于四个时。在单历元GPS模糊度解的基础上,提出了双差分载波相位GPS与INS的耦合方式。设计了一种具有一个误差状态方程和两个不同的松散耦合和紧密耦合观察方程的卡尔曼滤波器。为了验证该解决方案,已使用精度为1°/ h的1HZ GPS数据和100HZ IMU数据进行了大量实验,其结果表明GPS / INS集成可以解决车辆的位置和姿态,误差较小分别超过0.2米和0.1度。

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