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Algorithms for Correction of the Navigation Information Using a Satellite Radio Navigation System under Anomalous Measurement Conditions

机译:在异常测量条件下使用卫星无线电导航系统校正导航信息的算法

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摘要

Algorithms for correction of the aircraft navigation information by using a satellite navigation system and an inertial navigation system are studied. The satellite system signals contain abnormal measurements of various durations. Improvement of the accuracy of navigation determinations is performed by filtering noise, eliminating anomalous spikes from the data, and replacing them with predicted values. It has been proposed to use the theoretically predicted value of the updated sequence in the adaptive Kalman filter in the case of detection of an anomalous measurement. In the case of the appearance of a pack of anomalous measurements, they are replaced by the predicted values obtained by using the trend and the self-organization algorithm.
机译:研究了利用卫星导航系统和惯性导航系统对飞机导航信息进行校正的算法。卫星系统信号包含各种持续时间的异常测量值。通过过滤噪声,消除数据中的异常峰值并将其替换为预测值,可以提高导航确定的准确性。已经提出在检测到异常测量的情况下在自适应卡尔曼滤波器中使用更新序列的理论预测值。在出现一堆异常测量的情况下,它们将被使用趋势和自组织算法获得的预测值所代替。

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