Research On Imaging Performance Of Geostationary Orbit Passive Microwave Atmospheric Sounding Synthetic Aperture Load

There is an urgent need for the geostationary orbit microwave sounding,as it can greatly enhance the monitoring and forecasting capabilities of typhoon rainstorm and other extreme weather,and solve the difficult problem of meteorological forecasting.The world has proposed a variety of radiomater payload candidates based on real aperture and synthetic aperture,but the GEO-MW is still world blank due to high spatial resolution requirements led to the implementation of high technical difficulty.A possible solution to this problem may be image formation of synthetic aperture microwave radiation developed from radio astronomy.For the the application demand and the performance index of microwave atmospheric sounding of geostationary orbit meteorological satellite,this paper aims to realize the geostationary meteorological orbit microwave observation system simulation experiments by studying in depth the relative key technologies such as atmospheric brightness temperature forward modeling,payload observation process modeling.This research compare the actual observed brightness temperature with brightness temperature simulated from the simulation experiments to evaluate the imaging performance of two kinds of loads,the Geostationary Synthetic Thinned Aperture Radiometer(GeoSTAR)and Geostationary Interferometric Microwave Sounder(GIMS),and to compare and analyze the characteristics and accuracy of the observed brightness temperature data under different system parameters.For the first time this research compare GIMS with circular lattice array(CLA)on simulated load.At the same time,taking into account the effect of the imaging time of the times sharing scanning system in the practical application,this paper simulate the changing process of brightness temperature under the the real scanning imaging process to analyse the influence of imaging time on the imaging accuracy of GIMS load.The simulation results first show that the brightness temperature of the simulated load observation is closer to the average value of the actual brightness temperature in a certain imaging period.