Multi-beam GNSS-R system, sea surface wind field inversion method and prediction method

A multi-beam and sea surface reflection technology, applied in the field of multi-beam GNSS-R system, can solve the problems of poor real-time performance, low precision, and low resolution, and achieve high timeliness, high resolution, and high computing efficiency.

Active Publication Date: 2020-08-25
BEIJING SATELLITE INFORMATION ENG RES INST
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Problems solved by technology

[0004] The embodiment of the present invention provides a multi-beam GNSS-R system, a sea surface wind field inversion method and a prediction method to solve the problems of low resolution, poor real-time performance and low accuracy in the sea surface wind field inversion method in the prior art question

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  • Multi-beam GNSS-R system, sea surface wind field inversion method and prediction method
  • Multi-beam GNSS-R system, sea surface wind field inversion method and prediction method
  • Multi-beam GNSS-R system, sea surface wind field inversion method and prediction method

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[0056] In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are proposed for a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention can also be implemented in other embodiments without these specific details.

[0057] In order to illustrate the technical solution of the present invention, specific embodiments are used for description below.

[0058] See figure 1 This embodiment provides a multi-beam GNSS-R system, which mainly includes: a receiving antenna array 10, a sampling quantization module 20, a multi-beam forming module 30, and a position estimation module 40. The receiving antenna array 10, the sampling quantization module 20 and the multi-beam forming module 30 are connected in sequence, the position estimation module 40 is connected to the sampling quantization module 20, and...

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Abstract

The invention relates to the technical field of radar. The invention provides a multi-beam GNSS-R system, a sea surface wind field inversion method and a prediction method. The device mainly comprisesa main body, acquiring sea surface wind speed information of a plurality of subspaces of a target sea area detected by the multi-beam GNSS-R system; determining spatial continuous wind speed information of the target sea area; obtaining a VH polarization image and a VV polarization image of a multi-polarization SAR scanning target sea area; updating the VH polarization wind speed inversion modelaccording to the spatial continuous wind speed information and the VH polarization image to obtain wind speed information of the target sea area, determining the wind direction of the target sea areaaccording to the wind speed information and the VV polarization image, and finally predicting the wind field of the adjacent area of the target sea area according to the wind field correlation information and the wind field information. The method is high in wind field inversion precision, high in calculation efficiency and high in resolution, can predict the wind field of the adjacent sea area, and has high timeliness.

Description

Technical field [0001] The present invention relates to the field of radar technology, in particular to a multi-beam GNSS-R system, a sea surface wind field inversion method and a prediction method. Background technique [0002] When detecting ship targets on the sea, the target intensity and sea clutter intensity are respectively affected by the marine environment and observation mode. In order to increase the detection probability of the target, the space-based intelligent radar can adjust the radar observation mode according to the current environment to increase the target intensity To reduce the intensity of sea clutter. Among them, the important part of obtaining the marine environment is to obtain the sea surface wind field. Due to the characteristics of ship targets and the operation mode of space-based radars, high accuracy, high resolution and real-time performance of sea surface wind field data are required in target detection. [0003] The existing sea surface wind fie...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S19/37G01S19/14G01S13/86G01S13/95
CPCG01S19/37G01S13/86G01S13/956G01W1/10Y02A90/10
Inventor 张涛张瑶夏正欢赵志龙刘敦歌
Owner BEIJING SATELLITE INFORMATION ENG RES INST
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