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Combined Least Squares and Kalman Approach in Determination of Attitude using Carrier Phase GPS/GLONASS Observations

机译:在使用载波阶段GPS / GLONASS观测的确定态度的最小二乘和卡尔曼方法

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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,我们试图找到最简单而普遍的方式来将测量结果与任意空间配置固定的任何数量的天线相结合。我们提出了一种方法,其中不是单个天线人工被人工被挑出为主天线。因此,如果对他人有足够的测量,则主天线上的任何故障对解决方案并不重要。没有一次以上的基线所需的常见星座。然后,通过使用特殊适应的最佳Kalman和最小二乘技术,通过初步估计严重降低了模糊性搜索。惯性测量单元(IMU),如果存在,则允许我们最佳地为姿态解决方案添加额外的校正,即使对于检测测量中的异常值也是如此。特别注意当主对象正在快速旋转时,接收器立即释放并恢复卫星信号跟踪。反之亦然,卫星态度信息可以成功用于IMU的校正。

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