Research On FPGA Lucky Imaging System Based On Ethernet Transmission

Lucky image technology is a kind o f post-processing method which is used to eliminate the influence of atmospheric turbulence in astronomical images and to obtain reconstructed high-resolut ion images.This kind of technology is usually realized by using desk-top computer system.However,this kind of method can't meet the real-time requirements of some astronomical observers.Therefore,a researcher has proposed using FPGA which has the capabilit y of parallel processing for lucky image technology.A prototype of lucky imaging system based o n FPGA has been developed in our laboratory.However,the system's pictures are read from an SD card and the reading speed is slow which can't meet the real-time requirements.This paper will conduct deep research based on the prototype system and propose improving plan.This paper analyzes the advantages and disadvantages of the existing prototype system in our laboratory,according to the real-time requirements of the project,proposing a technical proposal of lucky image technology based on Gigabit Ethernet using FPGA.The function modules of Gigabit Ethernet data transmission are designed and the lucky imaging processing and VGA display modules in the prototype system are transplanted.After all these works,a new lucky imaging processing system which is based on Gigabit Ethernet is built.This paper firstly introduces the design of PC software.The software is developed by C# and is used to send the raw images and receive the processed results.This paper introduces the design of the Ethernet receiving module,FIFO module,DDR3 module.Then,this paper introduces the transplantation of the selection module,registration module,superposition module and display modules.After all these works,the whole system can run and get results.After setting up the experimental platform of the system,the lucky imaging experiment is carried out.The result shows that it is the same as the prototype system.However,the total running time of the new system is shortened from 40 seconds to about 10 seconds,and the real-time performance of the system is obviously improved.