A beam position measurement system of fully digital signal processing at SSRF

A beam position measurement system of fully digital signal processing at SSRF 1 2 first-author 1 2 corresp Corresponding author. E-mail address: zlei@ustc.edu.cn Corresponding author. E-mail address: zlei@ustc.edu.cn zlei@ustc.edu.cn 1 2 1 2 1 2 1 2 3 3 3 3 State Key Laboratory of Particle Detection & Electronics, University of Science and technology of China, Hefei 230026, China State Key Laboratory of Particle Detection & Electronics, University of Science and technology of China, Hefei 230026, China Anhui Key Laboratory of Physical Electronics, Department of Modern Physics, University of Science and technology of China, Hefei 230026, China Anhui Key Laboratory of Physical Electronics, Department of Modern Physics, University of Science and technology of China, Hefei 230026, China Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China This fully digital beam position measurement instrument is designed for beam position monitoring and machine research in Shanghai Synchrotron Radiation Facility. The signals received from four position-sensitive detectors are narrow pulses with a repetition rate up to 499.654 MHz and a pulse width of around 100 ps, and their dynamic range could vary over more than 40 dB in machine research. By the employment of the under-sampling technique based on high-speed high-resolution A/D conversion, all the processing procedure is performed fully by the digital signal processing algorithms integrated in one single Field Programmable Gate Array. This system functions well in the laboratory and commissioning tests, demonstrating a position resolution (at the turn by turn rate of 694 kHz) better than 7 μm over the input amplitude range of –40 dBm to 10 dBm which is well beyond the requirement. Beam position measurement Fully digital signal processing High-speed high-resolution A/D conversion SSRF Under-sampling References Chen S , Xu H , Zhao Z . 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