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Time-and-Frequency Approach to Navigation Information Processing

机译:时频导航信息处理方法

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摘要

The relation between the time-varying optimal algorithms of Kalman filtering and the time-invariant algorithms obtained within the framework of the frequency approach using the approximate method of local approximation of spectral densities was revealed. Introduced was the notion of time-and-frequency approach lying in combined use of the Kalman and frequency approaches, including the method of local approximation. Consideration was given to the examples of processing the navigation information, and the practical importance of the results obtained was discussed.
机译:揭示了卡尔曼滤波的时变最优算法与在频率方法框架内使用频谱密度局部近似的近似方法获得的时不变算法之间的关系。引入了时频方法的概念,该方法结合了卡尔曼和频率方法(包括局部逼近方法)的使用。考虑了处理导航信息的示例,并讨论了所得结果的实际重要性。

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