A prediction method for aerostat occultation based on inertial navigation

An aerostat and navigation star technology, applied in the field of atmospheric occultation detection, can solve the problems of wasting hardware resources, not considering visibility and real-time performance, and insufficient accuracy

Active Publication Date: 2021-05-18
CMA METEOROLOGICAL OBSERVATION CENT +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing occultation prediction algorithm mainly uses simulation software to calculate, and then puts it into the device in advance, without considering the visibility and real-time performance in practical applications, so the accuracy rate is insufficient, resulting in a waste of hardware resources

Method used

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  • A prediction method for aerostat occultation based on inertial navigation
  • A prediction method for aerostat occultation based on inertial navigation
  • A prediction method for aerostat occultation based on inertial navigation

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Experimental program
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Effect test

Embodiment

[0062] The test scenario is designed as follows: the flying height of the aerostat is 20km, the location is (-2244788.560, 4316130.960, 4141765.440), the UTC time is from 0:00:00 on September 27, 2018 to 16:00:00 on September 27, 2018, The aerostat receiving antenna argument w is 40 degrees, the antenna installation pitch angle is -4, and the occultation cut angle is -4.5 degrees, so the antenna pitch angle threshold is [-7.5,16]. Since the scene is designed to be three-axis stable, Therefore, the antenna and the direction of motion keep coincident, so the antenna azimuth angle threshold is [-20, 20]. If the antenna has attitude maneuvers, inertial navigation equipment needs to be introduced, plus the antenna azimuth changes caused by attitude maneuvers. With a time step of 60s, some forecast results and reception results are shown in the table below:

[0063]

[0064] Through hardware-in-the-loop simulation, the above table is obtained, which can prove that the occultation...

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Abstract

The invention discloses an inertial navigation-based aerostat occultation prediction method, which includes first obtaining the positions of all GNSS navigation stars in the WGS84 coordinate system according to the positioning equipment of the occultation detector, and then calculating the position, longitude, and Latitude and altitude, calculate the pitch angle, azimuth angle of all GNSS navigation stars and the azimuth angle of the aerostat body, judge whether the obtained pitch angle Elv, azimuth angle Azm and antenna installation azimuth meet the threshold of the occultation event, if so, then It is determined that the GNSS navigation star is an occultation. The present invention judges occultation events by adopting continuous arc segments by inertial navigation equipment, thereby enhancing the accuracy of forecast results, the method is simple and easy, and has important application value for real-time forecast.

Description

technical field [0001] The present invention relates to the technical field of atmospheric occultation detection, in particular to an inertial navigation-based aerostat occultation prediction method, using atmospheric occultation detection equipment and initialization hardware equipment on the aerostat to predict the occurrence of occultation events in advance, for A method for quickly capturing occultation events to provide initial conditions. Background technique [0002] The success of the GPS / MET experiment has verified the great value of GNSS radio occultation technology for the detection of the earth's atmosphere. With the development of GNSS radio occultation technology, more and more countries pay attention to occultation technology. The occultation event refers to the physical change phenomenon that the navigation signal of the GNSS satellite passes through the ionosphere and atmosphere on the earth's surface and produces bending. Occultation technology refers to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/16G01S19/14G01V3/17G01W1/08
CPCG01C21/165G01S19/14G01V3/17G01W1/08
Inventor 杨荣康郭启云李昌兴张春泽温凯黄满义
Owner CMA METEOROLOGICAL OBSERVATION CENT
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