A certain model should be used to predict and track the space objects that may affect the operation of satellites. In this paper, the Two-Line Elements (TLE) and the Simplified General Perturbations 4 (SGP4) models are used to calculate the position and velocity vectors of satellite A/B in the True Equator Mean Equinox (TEME) coordinate system and the Earth-Centered Inertial (ECI) system. Satellite A is selected as the observation platform to carry the camera, and the imaging positions of target satellite B on the camera of satellite A in the TEME and ECI coordinate systems are calculated respectively. The imaging trajectories are superimposed to generate several turns. The difference between the imaging positions in TEME and ECI coordinate systems is calculated, and the influence of the Earth's precession and nutation on the imaging trajectory is analyzed.
KEYWORDS: Digital signal processing, Field programmable gate arrays, Image processing, Cameras, Target recognition, Real time image processing, Image segmentation, Power supplies, Logic
This paper designs an image processing platform suitable for spaceborne equipment with FPGA and DSP as the core. In this paper, the hardware architecture, the selection of key components, and the interaction design of the interface between FPGA and DSP are introduced in detail. During the experiment, six high-definition cameras were used to capture multiple images of the visual target fixed in the motion mechanism, and the function and performance of the system were fully tested. The results show that the platform has the ability to receive image data from six high-definition cameras at the same time while only consuming 18w of power. And within 0.5s, based on the image data of the visual target captured by the six cameras, after image preprocessing, image noise reduction, threshold segmentation and other related processing, the relevant pose information is solved, the position error is less than 1mm, and the attitude error is less than 0.1°, the platform has high computing precision, fast computing speed, good stability and low power consumption.
KEYWORDS: Cameras, Sensors, Field programmable gate arrays, Video, Imaging systems, Data processing, Clocks, Data conversion, Human-machine interfaces, Data acquisition
To obtain the high-resolution and real-time digital image of the monitoring target and meet the requirements of miniaturization, a light and high-resolution video camera system based on FPGA is designed. The camera uses the large array CMOS sensor CMV12000 produced by the CMOSIS company and transfers the output data to the computer through Camlink interface. By using the FPGA as the core of timing control and completing the design of time-driving of CMOS sensor, output data remapping and Camlink interface with Verilog hardware language, the design of the camera is realized and a imaging experiment is carried out. The result shows that the driving sequence of the camera is reasonable and the communication with computer is correct. The camera operates stably and takes high quality images with the image resolution is 4096×3072.
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