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Evaluation of estimation raim concepts

机译:评估估计RAIM概念

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This paper evaluates the use of a Kalman filter for improving RAIM. Estimates of satellite clock offsets become the test statistics. It is found that, for a snapshot algorithm, there is no difference between conventional, parity space RAIM and that based on the Kalman filter. When time histories are used and the satellite offsets are modeled as ramps, it is found that there is improvement when the slope of the ramp offset is greater than about 6m/sec. If a crude intertial navigation system were included, it is possilbe to have significant improvement when fault producing ramps take as long a 3 mimutes to develop.
机译:本文评估了Kalman滤波器来改善Raim的使用。卫星时钟偏移的估计成为测试统计数据。结果发现,对于快照算法,传统的奇偶校验空间Raim和基于卡尔曼滤波器之间没有区别。当使用时间历史并且卫星偏移被建模为斜坡时,发现斜坡偏移的斜率大于约6m /秒时,存在改进。如果包括粗内导航系统,则当延长的故障产生坡道时,它可能具有显着改善,只需3倍。

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