Space Targets Spectral Detection Signal-to-noise Analysis

SNR of spectrograph is studied in this thesis, including:1. The basic theories of spectral imaging are introduced. The spectral imaging is classified. The beam splitting technologies which are widely applied into dispersive spectrograph and Fourier transform spectrograph are introduced. The developments of spectrometry are introduced.2. The Feasibility of applying the spectrometry for the space object detection is analyzed. The development of the technology is introduced.3. The working principle of the large aperture static spectrograph is introduced. A feasible technical project is presented for the space object detection and identification. The traits of the spectrograph are summarized.4. Some basic theories of atmospheric transmission are introduced. Atmospheric radiant transmission models arc studied and compared, and then the atmospheric effect of the space object detection is explained.5. The SNR formula of LASIS for the space object detection is deduced, and the detection capability of the spectrograph is analyzed and estimated. The major factors which affect SNR of the spectrograph are analyzed.