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Microwave scatterometer wind field inversion method and system based on maximum likelihood estimation

A technique of maximum likelihood estimation and microwave scatterometer, which is applied in radio wave measurement systems, instruments, etc., and can solve the problem of not considering the difference in the residual characteristics of wind element inversion.

Active Publication Date: 2021-09-03
NAT SPACE SCI CENT CAS
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Problems solved by technology

[0004] The fuzzy solution obtained by inversion needs to select a fuzzy solution as the real solution through fuzzy removal, and the probability that the fuzzy solution is selected as the real solution is the likelihood probability of the fuzzy solution. According to Bayesian theory and maximum likelihood estimation, the probability that the fuzzy wind vector retrieved by the scatterometer is the real wind vector can be expressed as a likelihood probability model function related to MLE. It is calculated from all wind cells within the swath range, without considering the difference in the inversion residual characteristics of different row wind cells within the swath range

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  • Microwave scatterometer wind field inversion method and system based on maximum likelihood estimation
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  • Microwave scatterometer wind field inversion method and system based on maximum likelihood estimation

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Embodiment 1

[0057] Such as image 3 As shown, Embodiment 1 of the present invention proposes a microwave scatterometer wind field inversion method based on maximum likelihood estimation. Specifically include:

[0058] Obtain the backscatter echo signal received by the microwave scatterometer, and obtain the backscatter coefficient after processing;

[0059] Based on the maximum likelihood estimation method combined with the geophysical model function, the wind field inversion residual and wind field fuzzy solution of the corresponding wind vector unit are calculated from the backscatter coefficient;

[0060] Based on the wind field inversion residual of the wind vector unit, the pre-established likelihood probability model is traversed to obtain the likelihood probability of the fuzzy wind field solution of the corresponding wind vector unit;

[0061] After blur removal and quality control, the L2B level wind field data products are obtained.

[0062] 1. Wind field inversion model

[...

Embodiment 2

[0095] Embodiment 2 of the present invention proposes a microwave scatterometer wind field inversion system based on maximum likelihood estimation. The system includes: a backscatter coefficient processing module, a wind field inversion residual error and a wind field fuzzy solution calculation module , fuzzy wind field solution calculation module and wind field data output module; wherein,

[0096] The backscatter coefficient processing module is used to obtain the backscatter echo signal received by the microwave scatterometer, and obtain the backscatter coefficient after processing;

[0097] The wind field inversion residual and wind field fuzzy solution calculation module is used to obtain the wind field inversion residual and wind field inversion residual of the corresponding wind vector unit by calculating the backscatter coefficient based on the maximum likelihood estimation method combined with the geophysical model function. field fuzzy solution;

[0098] The fuzzy w...

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Abstract

The invention relates to the technical field of active microwave remote sensing, in particular to a microwave scatterometer wind field inversion method and system based on maximum likelihood estimation, and the method comprises the steps: obtaining a backscattering echo signal received by a microwave scatterometer, and processing the backscattering echo signal to obtain a backscattering coefficient; on the basis of a maximum likelihood estimation method in combination with a geophysical model function, calculating a wind field inversion residual error and a wind field fuzzy solution of a corresponding wind vector unit through a backscattering coefficient; traversing a pre-established likelihood probability model based on the wind field inversion residual error of the wind vector unit to obtain the likelihood probability of the fuzzy wind field solution of the corresponding wind vector unit; and obtaining an L2B-level wind field data product through fuzzy removal and quality control. The invention provides a new method for analyzing the residual characteristics of different positions of the swath. A likelihood probability model function related to the position of the cradling amplitude is provided according to the change of observation information at different positions of the cradling amplitude.

Description

technical field [0001] The invention relates to the technical field of active microwave remote sensing, in particular to a microwave scatterometer wind field inversion method and system based on maximum likelihood estimation. Background technique [0002] The sea surface wind field is an important physical parameter in the research and application of marine and atmospheric sciences. Spaceborne microwave scatterometer is currently the most important remote sensing instrument for obtaining global sea surface wind field data. Its sensing results play an important role in numerical weather forecasting, marine disaster monitoring, marine environment numerical forecasting, meteorological forecasting and climate research. [0003] The influence of the wind field observed by the scatterometer on quantitative applications such as numerical weather prediction depends on the quality of the retrieved wind field. Therefore, in many applications of sea surface wind fields, the quantitati...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41Y02A90/10G01S13/422
Inventor 王冰花
Owner NAT SPACE SCI CENT CAS
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