Research Of Deep Space Image Processing System Based On The Multi-Processor SoC

With the continuous development of space technology,human exploration of space has gradually extended to the deep space field.However,the long distance of deep space exploration results in a huge delay in communication between the detector and the ground control terminal.Therefore,in order to ensure the real-time and accuracy of deep space probe navigation,optical autonomous navigation has become one of the key technologies of deep space exploration.By on-orbit real-time analysis of the optical information captured by the detector,the technology enables the detector to control its orbit and attitude independently,simplifies the operation complexity of the ground terminal control system,and enhances the autonomous viability of the detector.On the other hand,microsatellites have the advantages of small size,low cost,short development cycle and high flexibility.They are widely used in communications,remote sensing to the earth,planetary exploration and other fields.They are the important development direction of future space vehicles.However,due to the small size,limited computing and energy resources of micro-satellites,the energy efficiency requirements of on-board computing systems are extremely high.Therefore,how to design low-cost,high real-time optical autonomous navigation system becomes a difficult problem in the design of micro-deep space exploration satellites.Aiming at the image processing requirement of optical autonomous navigation system in micro deep space exploration satellite,the hardware design method of image processing system for optical autonomous navigation is studied,and a deep space image processing scheme based on multi-core on-chip system(MPSoC)is proposed.In this paper,the image processing algorithms in cruise and capture phases of deep space probe are analyzed and studied.Aiming at the real-time requirement,combined with MPSoC multi-core computing platform,the software and hardware partition method of deep space image processing algorithm is studied,the multi-core acceleration scheme is proposed,the image compression scheme based on ADV212 chip is studied,and the complete image acquisition,compression and location are designed and constructed.MPSoC hardware and software architecture.Based on Xilinx Zynq-7020 FPGA,the above MPSoC deep space image processing system is implemented.Cortex-A9 dual-core processor in Zynq platform is used to realize parallel execution of image processing algorithm.The data flow path of image acquisition,compression and processing is constructed by using the resources of FPGA in Zynq platform.Finally,the optical sensor with resolution of 640 *480 is used in this research.The system is validated and tested by simulating deep space star image with star mode.The results show that the system can realize real-time acquisition and processing of deep space image.The difference between the centroid coordinates detected by image processing algorithm and the real centroid coordinates is not more than 2 pixels,and the image compression ratio can reach 10:1.Based on Cortex-A9,the processor's dual-core scheme achieves an acceleration ratio of 1.83 compared with the single-core scheme.