High Power Laser and Particle Beams, Volume. 32, Issue 7, 074002(2020)

Signal processing algorithm optimization of bunch-by-bunch phase measurement system for storage ring

Yimei Zhou1...2, Yongbin Leng1,2,3,*, Xingyi Xu1,2, Bo Gao2,3, and Shanshan Cao23 |Show fewer author(s)
Author Affiliations
  • 1Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
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    To further improve the accuracy of phase measurement, the Shanghai Synchrotron Radiation Facility (SSRF) Beam Instrumentation (BI) Group proposed a new signal processing method, the correlation function method, based on the bunch-by-bunch phase measurement system. This method calculates the bunch-by-bunch phase by performing pattern matching directly on all sampling points of the oscilloscope in the time domain. The advantage is that the data processing is only limited by the oscilloscope bandwidth, and more BPM (Beam Position Monitor) harmonic signals can be retained. The results show that increasing the BPM signal processing bandwidth can effectively remove the crosstalk between bunches and reduce the system measurement error caused by signal reflection. The principal component analysis (PCA) method is used to evaluate the phase measurement resolution, the larger bunch charge, the better the resolution. The precise phase dependence between the bunches can also be used to analyze the beam wake field and impedance in the storage ring.

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    Yimei Zhou, Yongbin Leng, Xingyi Xu, Bo Gao, Shanshan Cao. Signal processing algorithm optimization of bunch-by-bunch phase measurement system for storage ring[J]. High Power Laser and Particle Beams, 2020, 32(7): 074002

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    Paper Information

    Category: Particle Beams and Accelerator Technology

    Received: Feb. 17, 2020

    Accepted: --

    Published Online: Jul. 10, 2020

    The Author Email: Leng Yongbin (lengyongbin@sinap.ac.cn)

    DOI:10.11884/HPLPB202032.200033

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