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Very-low-frequency navigation radio wave propagation prediction model refining method based on cloud architecture

A radio wave propagation and forecasting model technology, applied to radio wave measurement systems, measurement devices, instruments, etc., can solve the problems of large parameter influence changes, difficulty in meeting high-precision navigation and positioning, and low correction accuracy

Inactive Publication Date: 2018-05-04
NO 20 RES INST OF CHINA ELECTRONICS TECH GRP
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Problems solved by technology

[0008] Most of the traditional model phase prediction corrections are based on empirical parameters. The parameters are greatly affected by various factors, and the accuracy of the correction is not high. It is difficult to meet the requirements of high-precision navigation and positioning.

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  • Very-low-frequency navigation radio wave propagation prediction model refining method based on cloud architecture
  • Very-low-frequency navigation radio wave propagation prediction model refining method based on cloud architecture
  • Very-low-frequency navigation radio wave propagation prediction model refining method based on cloud architecture

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0025] The present invention adopts following technical scheme:

[0026] The present invention is based on the networked radio wave propagation monitoring and cloud-based radio wave correction processing system, including the very low frequency navigation radio wave propagation monitoring station distributed in the very low frequency navigation working area, the communication between the radio wave monitoring station and the cloud-based radio wave propagation correction data processing center Network, cloud architecture radio wave propagation correction data processing center, wireless communication channel between cloud architecture radio wave propagation correction data processing center and very low frequency navigation user terminal, and very low frequency navigation use...

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Abstract

The invention provides a very-low-frequency navigation radio wave propagation prediction model refining method based on cloud architecture. Networked big data and a cloud computing technology are adopted, a radio wave propagation model is constructed and refined with the aid of machine learning, high-precision radio wave propagation model correction is realized, except high-precision model correction, a very-low-frequency navigation user terminal receives newest model data broadcasted by a cloud architecture radio wave propagation correction data processing center, a radio wave propagation correction model is updated to a newest radio wave propagation correction prediction model, and model correction accuracy is improved.

Description

technical field [0001] The invention relates to a method for correcting a radio navigation positioning model, in particular to a method for refining a very low frequency navigation electric wave propagation prediction model based on big data mining and machine learning. Background technique [0002] Radio navigation is to transmit radio navigation signals through a transmitter with a known location, and the user end obtains the user's position by receiving radio navigation and navigation signals from multiple transmitters and calculating the location. [0003] The frequency of the very low frequency radio is 3kHz ~ 30kHz. The radio in this band has a long distance of propagation through the ground and ionospheric waveguide, the propagation attenuation is small, and it has a certain depth of entry into the water. The very low frequency radio is usually used for long-range wide-area radio navigation and communication. [0004] Typical VLF navigation systems are the American Om...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/02
CPCG01S5/021
Inventor 胡安平张上海王伟
Owner NO 20 RES INST OF CHINA ELECTRONICS TECH GRP
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