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A method of orbital data interpolation based on Lagrangian interpolation and Kalman filter

A Kalman filter and orbital data technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as linearization error, reduce filter prediction and estimation performance, etc., to reduce prediction error, meet the Accuracy requirements, the effect of eliminating linearization errors

Active Publication Date: 2016-12-28
AEROSPACE DONGFANGHONG SATELLITE
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Problems solved by technology

[0005] (2) The problem of large error
Extended Kalman Filtering (Extended Kalman Filtering, EKF) can linearize the system equations, but EKF will introduce linearization errors, thereby reducing the predictive estimation performance of the filter, so better nonlinear filtering techniques are needed

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  • A method of orbital data interpolation based on Lagrangian interpolation and Kalman filter

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Embodiment Construction

[0018] The present invention provides an orbital data interpolation method based on Lagrangian interpolation and Kalman filtering, such as figure 1 As shown, the steps are as follows:

[0019] (1) Perform weighted processing on the current moment (K moment) data and historical data of the satellite orbit to obtain a weighted average, and then calculate the next moment of the satellite orbit (K+ 1 time) data to obtain a rough forecast value;

[0020] (2) Using the difference between the current time (K time) data of the satellite orbit and the weighted average as a correction factor, the rough prediction value is corrected in real time to obtain the next time (K+1 time) track correction prediction data;

[0021] (3) After the satellite ephemeris is interpolated by Lagrange, the orbit data at the next moment (K+1 moment) is calculated, and the error processing is performed on the orbit correction prediction value at the next moment (K+1 moment) , and finally get the orbit dat...

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Abstract

The invention provides an orbital data interpolation method based on Lagrange's interpolation and Kalman filtering. According to the orbital data interpolation method, historical and current orbital data of a satellite can be used, orbital data of a next moment in real time can be estimated while data accuracy is guaranteed, meanwhile interpolation analysis calculation is performed on ephemeris, and finally high-accuracy real-time prediction and simulation of satellite orbital data are achieved. The orbital data interpolation method based on the Lagrange's interpolation and the Kalman filtering effectively solves the problem that a satellite elliptical orbit is nonlinear and large in error.

Description

technical field [0001] The invention relates to an orbit data interpolation method based on Lagrangian interpolation and Kalman filtering, which realizes real-time prediction of satellite elliptical orbit nonlinear orbit data, and at the same time performs interpolation analysis and calculation of precise ephemeris, and finally realizes satellite orbit Real-time high-precision prediction and simulation of data. Background technique [0002] In the satellite navigation system, the satellite ephemeris is the information describing the orbit of the satellite. It corresponds to the number of satellite orbit elements and their rate of change at a certain moment. According to the satellite ephemeris, the satellite position and speed at any time can be calculated. According to the precision ephemeris, it can be divided into forecast ephemeris (broadcast ephemeris) and post-processing ephemeris (precise ephemeris), but the precision ephemeris cannot provide real-time positioning ser...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 孙骥王志勇李响左莉华熊亮申珉珉
Owner AEROSPACE DONGFANGHONG SATELLITE