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Combined least squares and Kalman approach in determination of attitude using carrier phase GPS/GLONASS observations

机译:结合最小二乘和卡尔曼方法使用载波相位GPS / GLONASS观测值确定姿态

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In this paper we try to find the easiest and universal way to combine measurements from any number of antennas fixed in an arbitrary spatial configuration. We propose a method in which not a single antenna is artificially picked out as a master antenna. So any failure on master antenna is not critical for the solution now if there is enough measurements on others. No common constellation required for more than two baselines at once. Then the ambiguity search is severely reduced by preliminary estimation using specially adapted optimal Kalman and least-squares techniques. Inertial measurement unit (IMU), if present, then allow us to optimally add an additional correction for attitude solution, even for the detection of outliers in measurements also. Especially note the case when the master object is rapidly spinning so the receiver instantly looses and restores satellite signal tracking. Vice versa, satellite attitude information can be successfully used for the correction of IMU.
机译:在本文中,我们尝试找到最简单,通用的方法来组合来自固定在任意空间配置中的任意数量天线的测量结果。我们提出了一种方法,其中没有人为地挑出单个天线作为主天线。因此,如果其他天线上有足够的测量值,则主天线上的任何故障对于解决方案而言都不是至关重要的。一次不只需要两个以上的基准,就不需要通用的星座图。然后,通过使用特殊适应的最佳Kalman和最小二乘技术进行初步估计,可以大大减少歧义搜索。惯性测量单元(IMU)(如果存在)可以使我们最佳地添加姿态解决方案的附加校正,甚至还可以检测到测量中的异常值。尤其要注意当主对象快速旋转时,接收器立即松开并恢复卫星信号跟踪的情况。反之亦然,卫星姿态信息可以成功地用于IMU的校正。

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