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Imaging Data Processing Of Aperture Synthetic Radiometer

Posted on:2018-06-30Degree:MasterType:Thesis
Country:ChinaCandidate:W Z XueFull Text:PDF
GTID:2370330569975066Subject:Electromagnetic field and microwave technology
Abstract/Summary:PDF Full Text Request
Aperture Synthetic Radiometer is an important device of Earth Passive Remote Sensing.School of Electronic Information and Communication,Huazhong University of Science and Technology has independently developed an experimental system of two-dimension Aperture Synthetic Radiometer,HUST-ASR2 D,which provides an experimental platform for relevant theory and technology.HUST-ASR2 D requires a set of data processing program for two aspects of demand.On the one hand,the hardware output of HUST-ASR2 D is discrete sampling data for single channel signals.To obtain the brightness temperature distribution image of a scene,we need complex correlation operation by software to get self-correlation-matrix,correction of self-correlation-matrix and inversion of the brightness temperature distribution,which require data processing program to provide computational support.On the other hand,the system need analysis program to deal with the experimental data for Aperture Synthetic Radiometer usually has more complex structures,and is more prone to malfunction compared to Real Aperture Radiometer,so the analysis programs need to be added as supplement to limited hardware equipment.This paper introduces the hardware structure of HUST-ASR2 D briefly,then explains the principle and design of data processing program in detail.The program includes the self-correlation-matrix calculation program,the correction function and the Fourier inversion function to get image and programs to analyze experimental data such as the self-correlation-matrix calculation program to perform analysis of time and frequency domain,stability analysis program and fringe coplane program etc.At the end of the paper,we show the analysis method by experiment when the hardware is in malfunction or performance isn't ideal.There are two experiment.In the first part,by data analysis we found the reason of imaging shadow was phase drift.In the second part,we analyze the characters of channel phase in depth to find the phase noise and 'slow-drift'.Then segment correction and frequency-divide correction was put up to deal with them.
Keywords/Search Tags:HUST-ASR2D, Program designing, Data processing, Phase drift
PDF Full Text Request
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