Satellite-borne cloud detection radar echo simulation and echo characteristic parameter precision estimation method

A cloud measuring radar and characteristic parameter technology, which is applied in the field of spaceborne cloud measuring radar echo simulation and echo characteristic parameter accuracy estimation to achieve the effect of increasing distance weighting

Active Publication Date: 2021-02-19
SHANGHAI RADIO EQUIP RES INST
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Problems solved by technology

At present, the pulse Doppler system echo spectrum characteristic model has been established in the field of meteorological radar, and the in-phase and orthogonal sampling data are generated based on most echoes obeying the Gaussian model, which lays the fo

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  • Satellite-borne cloud detection radar echo simulation and echo characteristic parameter precision estimation method

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Embodiment Construction

[0044] based on the following Figure 1 to Figure 4 , specifically explain the preferred embodiment of the present invention.

[0045] Such as figure 1 As shown, the present invention provides a spaceborne cloud radar echo simulation and echo characteristic parameter accuracy estimation method, including the following steps:

[0046] Step S1, performing spatial distribution conversion and characteristic parameter representation on the actual observation data of cloud measuring radar;

[0047] Step S2, performing speed parameter correction;

[0048] Step S3, performing complex voltage signal sampling and distance weighting coefficient correction to obtain simulated echo data of spaceborne cloud measuring radar containing noise;

[0049] Step S4. Estimate the characteristic parameters of the cloud target echo under spaceborne conditions.

[0050] Described step S1 comprises the following steps:

[0051] The auxiliary data (geographical coordinates, time, cloud movement speed,...

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Abstract

The invention discloses a satellite-borne cloud measurement radar echo simulation and echo characteristic parameter precision estimation method; and the method comprises the steps: obtaining noise-containing satellite-borne cloud measurement radar echo simulation data through distance library weighting, antenna weighting and speed parameter correction according to the actual observation data of acloud measurement radar and the observation of a satellite-borne platform and the distribution and noise characteristics of a cloud target; and the requirements of cloud target echo characteristic parameter estimation precision evaluation under different satellite-borne conditions are met. The method is closer to the actual system working condition, can more accurately consider the evaluation of the target distribution, satellite motion and the like on the estimation precision of the meteorological target characteristic parameters of the satellite-borne platform, and achieves the purpose of extracting the echo characteristic parameters of the cloud target of the satellite-borne platform.

Description

technical field [0001] The invention relates to the field of active microwave atmospheric detection, in particular to a method for simulating echoes of space-borne cloud-measuring radars and estimating the accuracy of echo characteristic parameters. Background technique [0002] Clouds are an important part of the earth-atmosphere system (water cycle, regulation of the Earth's energy radiation budget), an important factor affecting weather and climate change, and the largest source of uncertainty in current weather forecasts and climate change. The fifth report of the United Nations Intergovernmental Panel on Climate Change (IPCC) pointed out that among the components of total radiative forcing, cloud radiative forcing has the greatest uncertainty and is the largest source of uncertainty in climate change. At present, there is room for improvement in the detection sensitivity of space-borne cloud measuring radar, and there is a great application demand in high-precision velo...

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Application Information

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IPC IPC(8): G01S7/40
CPCG01S7/4052G01S7/406Y02A90/10
Inventor 王平王海涛丁霞盛佳恋张荣政
Owner SHANGHAI RADIO EQUIP RES INST
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