Star subsurface remote sensing detection radar echo simulation and parameter inversion method

Abstract

The invention discloses a star subsurface remote sensing detection radar echo simulation and parameter inversion method based on microwave remote sensing. Scattering echo signals accurately simulating multilayer layered rough surfaces such as the surface and the subsurface and the like of a star are utilized for establishment of a forward model, and according to accurately simulated radar detection echo signals, actually observed radar echo signals are interpreted. According to the established layered medium scattering echo forward model, layered medium characteristic parameters of the star is accurately calculated by use of an improved inversion algorithm.

Description

technical field [0001] The invention relates to the field of star detection, and more specifically, to a radar echo simulation and parameter inversion method for remote sensing detection of the subsurface of a star. Background technique [0002] Mars space exploration began on October 10, 1960, and 51 Mars exploration missions have been implemented so far, mainly in Europe, the United States, Russia and other countries to search for life on Mars. Deep space exploration is a new milestone in the development of my country's space science and technology, and the exploration of Mars is another exploration hotspot after the lunar exploration boom of various aerospace powers at the beginning of this century. After Mars exploration in many countries, it was found that there is a large amount of water ice, organic matter and minerals in the subsurface of Mars. In particular, the Curiosity rover (equipped with Mars Science Laboratory) launched by the United States in 2011 carried out...

AI Technical Summary

Problems solved by technology

[0004] (1) Since the traditional Fresnel method only extracts the amplitude information of the radar echo for parameter estimation, it cannot calculate the medium conductivity of the subsurface layer (that is, the bottom layer of the medium) (that is, layer 2 in the Fresnel model)

[0005] (2) For subsurfaces that are non-horizontal or have ups and downs, and the diffuse scattering caused by a large layered rough surface dominates the radar echo power, in these cases, the traditional Fresnel method estimates the medium parameters The error will be large and even the method will fail

[0006] (3) The interpretation of radar echo data based on the Fresnel model will bring uncertainty. For example, the echo data of MARSISorbit2682 and SHARADorbit6830 are controversial because the Fresnel model does not consider the influence of rough surfaces. The undulating roughness is very large, so the effect of roughness cannot be ignored

[0007] (4) Due to the large surface roughness of Mars and the limitations and insufficiencies of the current analysis and processing methods for remote sensing radar echo data, different estimates of the parameters of the Martian surface medium are obtained

[0008] (5) Due to the limited detection resolution of the current remote sensing radar system, the highest resolution is only 15m (in the air), and it is helpless for the detection of dry ice (thickness is about 10m), and the radar echo cannot distinguish the echo signal of dry ice layering. The traditional Fresnel model cannot determine whether dry ice must exist

[0009] (6) The surface of Mars fluctuates violently, and the surface clutter seriously interferes with the extraction of subsurface echoes.

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