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Study on a miniaturized satellite payload for atmospheric temperature measurements / von Jilin Liu. Wuppertal, 2019
Inhalt
Introduction
Research background
Atmospheric structure
Remote sensing of the Earth atmosphere
Instrument introduction
AtmoSHINE for mesospheric temperature measurements
SHS technology
Data processing
Detector characterization
CMOS and CCD detectors
Electronic and detector configuration
Detector performance tests
Detector dark current
System gain and readout noise
Detector fixed pattern
Radiation test
Radiation environment modeling
Radiation test
Distortion correction
Optical distortion
Distortion characterization
Model based distortion correction
Distortion model comparison
Interferogram distortion correction
Results and analysis
Spatial information
Phase and spectral information
Spectrum analysis
Fourier analysis and apodization
Line spectra estimation
Multiple signal classification (MUSIC)
Estimating signal parameters via rotational invariance techniques (ESPRIT)
Numerical examples
Single component scenario
Multiple components scenario
O2A-band simulation
Instrument characterization and calibration
Radiometric characterization
Interferogram generation using the calibration unit
Distortion correction
Instrument line shape
Ghost lines correction
Littrow calibration
Visibility calibration
Uncertainty estimation
SNR estimation
Calibration uncertainty
In orbit verification
AtmoSHINE onboard the satellite
Mission introduction
Satellite launch and the first light
Data analysis
Dark current
Radiometric calibration
Spectral analysis
SNR analysis
Limb radiance intercomparison
Temperature retrieval
Summary and outlook
Summary
Outlook
Appendix
Amplitude estimation
O2A-band emission lines inside the filter range
Global coverage
Filter characterization
Composed spectrum with ACU
Acknowledgements
bibliography