Using frequency approach to time-variant filtering for processing of navigation information

被引：2
|
作者：
A. V. Loparev
O. A. Stepanov
I. B. Chelpanov
机构：
[1] JSC,Concern CSRI Elektropribor
来源：
Gyroscopy and Navigation | 2012年 / 3卷 / 1期
关键词：
Root Mean Square; Kalman Filter; Power Spectral Density; Measurement Error Model; Root Mean Square Esti Mation Error;
D O I：
10.1134/S2075108712010099
中图分类号：
学科分类号：
摘要：
The paper considers a procedure for linear time-variant filtering used in navigation data processing. The proposed procedure is based on studying and simplifying the valid signal and measurement error models in the frequency domain. The application of this procedure to synthesis of autonomous and corrected gyro verticals is illustrated by examples. Comparative analysis of the accuracy in transient state is performed for time-invariant and time-variant filtering.
引用
收藏
页码：9 / 19
页数：10
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