A correction method of gnss multipath effect based on bp neural network technology

A BP neural network and multi-path effect technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of inability to calculate and solve multi-path effects in real time, and difficult to accurately model multi-path errors. Small fitting residuals, improved periodic fluctuations, and reduced effects of periodic errors

Active Publication Date: 2019-06-28
HUNAN LIANZHI BRIDGE & TUNNEL TECH
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Problems solved by technology

[0008] The purpose of the present invention is to provide a GNSS multipath effect correction method based on BP neural network technology, to solve the complex multipath error difficult to accurately model and the technical problems that cannot be calculated in real time to solve the multipath effect and correct the error

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  • A correction method of gnss multipath effect based on bp neural network technology
  • A correction method of gnss multipath effect based on bp neural network technology
  • A correction method of gnss multipath effect based on bp neural network technology

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[0051] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in various ways defined and covered by the claims.

[0052] A kind of GNSS multipath effect correction method based on BP neural network technology provided by the present invention is implemented on the basis of BP neural network technology application, and BP neural network algorithm comprises an input layer, a hidden layer and an output layer (see figure 1 ), where the number of neurons in the input layer is twice the number of common satellites of the reference station and the monitoring station, and the output layer has three neurons, which are the time series of coordinates in the X, Y, and Z directions of the monitoring point; the BP neural network activates The function adopts the Sigmoid function:

[0053]

[0054] A kind of GNSS multi-path effect correction method based on BP neural network tech...

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Abstract

The invention provides a GNSS multi-path effect correction method based on BP neural network technology, which sequentially includes multi-path error extraction, sample pre-selection, sample preprocessing, sample training, network topology determination, data storage, data post-processing and model update ;By using the signal forward propagation of BP neural network algorithm and the error back propagation to model the multipath error, it can effectively weaken the satellite's motion situation, satellite altitude angle, signal-to-noise ratio, and the surrounding environment of the monitoring point. Multi-path effect error, and the periodic fluctuations in the X, Y, and Z directions of the monitoring station have been significantly improved in the training results, and the model can be dynamically updated according to the newly added multi-path error data, which can minimize the multi-path effect The periodic error caused to the monitoring point.

Description

technical field [0001] The invention relates to the technical field of multipath effects, in particular to a method for correcting GNSS multipath effects based on BP neural network technology. Background technique [0002] GNSS (Global Navigation Satellite System) is a general term for various navigation systems, including: GPS, BDS, GLONASS, Galileo and other navigation systems. With the rapid development of satellite navigation systems, GNSS technology has been widely used in various fields such as navigation, deformation monitoring, positioning, and timing. GNSS has been widely used in deformation monitoring because of its all-weather, fully automatic, and no manual intervention. [0003] GNSS uses short baseline relative positioning technology in deformation monitoring to obtain the deformation of the monitored object in real time. Due to the short baseline, most of the errors have been effectively eliminated by filtering and differential technology. However, multipath...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/42G01B7/16G06N3/04G06N3/08
Inventor 梁晓东雷孟飞孔超杨振武
Owner HUNAN LIANZHI BRIDGE & TUNNEL TECH
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