Research On Attitude Inversion Of Space Target Based On Time Series Spectral Signal

With the development of space technology,related research on situational awareness of space targets has received more and more attention.In most cases,space-based detection means long-distance observation and the space object is regarded as a point target.It is extremely difficult to judge the motion state according to the image,therefore,the photometric signal is crucial for the analysis of the target motion state.Aiming at the problems in the practical application,i.e.,the non-cooperative target contains multiple components and there are wrinkles on the surface which result in the difficulty of the parameter inversion,in this paper,a modeling and simulation method for the wrinkled surface is put forward,and a layered method for solving the surface characteristic parameters and attitude parameters of the space target based on the time-series spectral signal is proposed.The specific research contents of this paper are as follows:(1)Analysis and simulation of the material characteristics of the wrinkled surface based on 3DS Max: The coating materials of space satellite bodies are usually polyimide materials with strong reflection characteristics.We use 3DS Max to model irregular wrinkles on target surfaces,then put the model into the simulation system to simulate and analyze the reflection characteristics with the BRDF measured data.(2)On-orbit parameter reconstruction based on three-axis stabilization state of the target satellite: Based on the simulation platform,the visible spectral signal of the ideal smooth surface and the wrinkled surface under three-axis stabilization state are obtained,then the optical characteristic parameters of smooth surface and wrinkled surface are inverted respectively.The multi-level fusion model of BRDF is used to characterize the optical reflection characteristics of complex materials.A linear optimization method is established to invert the parameters of the target surface,such as materials,dimensions and so on,these information can be seen as the input parameters for the next step.(3)Spectral selection based on the separation degree of the two facets: According to the material information and size information of the body and solar panel reconstructed from different spectral bands,an indicator is established to select the spectral bands in which the difference between the body and the panel is larger.(4)Attitude inversion based on the time-series photometric signal: According to the orbital characteristics,background characteristics,material characteristics and dimensional characteristics that have already been known,the target attitude changing process is modeled,and the attitude inversion method based on nonlinear iterative algorithm is proposed..The attitude of smooth surface and wrinkled surface of the target are solved and analyzed.