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GPS (Global Position System) double-frequency real-time satellite borne data processing method

A technology of satellite-borne data and processing methods, applied in satellite radio beacon positioning systems, instruments, measuring devices, etc.

Active Publication Date: 2010-10-27
WUHAN NAVIGATION & LBS INC
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Problems solved by technology

[0011] In view of the above-mentioned technical problems, the purpose of this invention is to provide a GPS dual-frequency real-time satellite data processing method, to solve the technical problem of quickly estimating satellite orbits in real-time precision orbit determination, and to improve the accuracy and speed of satellite real-time orbit determination

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  • GPS (Global Position System) double-frequency real-time satellite borne data processing method

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Embodiment Construction

[0045] The GPS dual-frequency real-time satellite-borne data processing method provided by the present invention first selects epochs with a fixed number (moments with observation values ​​or estimated values) to form a data window, and then utilizes the window end epoch satellite observation value smoothing window The motion state of satellites in all epochs, and based on the assumption that the state transition matrix does not change much, the multi-step method is used to numerically integrate the satellite motion equation to predict the motion state of the satellite in the next epoch. See figure 1 The flow chart shown specifically includes the following steps:

[0046] Step S1: Use the observed values ​​at the end epoch of the window to smooth the motion states of all epoch satellites in the entire window, so as to obtain the updated values ​​of the satellite states in all epochs in the window;

[0047] Step S2: Using the motion state of all epoch satellites in the window a...

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Abstract

The invention relates to the technical field of satellite borne data processing, in particular to a GPS (Global Position System) double-frequency real-time satellite borne data processing method. The method comprises the following steps of: smoothing the motion states of all epoch satellites in the whole window by utilizing an observed value of an epoch position at the tail end of the window; integrating and forecasting a state-transition matrix from a tail end epoch of the window to a next epoch and the motion states of the epoch satellites by utilizing the motion states of all the epoch satellites in the window and a given state-transition matrix by adopting a multistep method; updating the window epoch, i.e. backwards moving the window to a novel epoch; and smoothing the motion states of all the epoch satellites in the window by utilizing novel observing information of forecasted epochs, and the like. In the method, the multistep method is adopted during updating the epochs, and a single-step method is used for intersection, thus the method has high numerical precision and better stability; the calculating times of integrating a right function is fewer, which can effectively improve the calculating speed; and a window moving method is adopted, thus the window length can be changed according to different calculation precision requirements, flexibility and variability are realized and the integrating precision is guaranteed.

Description

technical field [0001] The invention relates to the technical field of satellite-borne data processing, in particular to a GPS dual-frequency real-time satellite-borne data processing method. Background technique [0002] In orbit determination, parameter estimation mainly includes two methods: batch processing algorithm and sequential processing algorithm. [0003] The so-called batch processing is to calculate all the observation data that need to be processed together. The reference orbit can be cyclically iterated, the data processing accuracy is relatively high, and the numerical stability is good. Therefore, this method is suitable for precise orbit determination after the event, but the initial value of the estimated parameter , Computer memory and calculation speed requirements are high. [0004] The so-called sequential processing algorithm is a recursive algorithm, which processes the observation data one by one, and the reference orbit cannot be iterative, and do...

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Application Information

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IPC IPC(8): G01S19/08G01S19/35
Inventor 赵齐乐郭靖施闯叶世榕
Owner WUHAN NAVIGATION & LBS INC
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