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@inproceedings{chen:ibic2021-mopp09,
author = {J. Chen and S.S. Cao and B. Gao and Y.B. Leng and T. Wu and Y.M. Zhou},
title = {{Research on the Optimal Amplitude Extraction Algorithm for Cavity BPM}},
booktitle = {Proc. IBIC'21},
pages = {48--51},
eid = {MOPP09},
language = {english},
keywords = {cavity, extraction, FEL, pick-up, data-acquisition},
venue = {Pohang, Rep. of Korea},
series = {International Beam Instrumentation Conference},
number = {10},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {10},
year = {2021},
issn = {2673-5350},
isbn = {978-3-95450-230-1},
doi = {10.18429/JACoW-IBIC2021-MOPP09},
url = {https://jacow.org/ibic2021/papers/mopp09.pdf},
note = {https://doi.org/10.18429/JACoW-IBIC2021-MOPP09},
abstract = {{The wake field of different modes of cavity BPM carries different bunch information, the amplitude and phase of the signals of different modes can be extracted through the signal processing method to obtain the characteristic parameters of the source bunch. In the application of bunch charge and position measurement, the accurate amplitude extraction method for cavity BPM signal is the primary issue to be considered when designing the data acquisition and processing system. In this paper, through theoretical analysis and numerical simulation, it is proved that the optimal algorithm of amplitude extraction for CBPM exists, and the dependence between the data processing window size and the decay time of the cavity BPM under the optimal design is given. In addition, the relationship between the optimized amplitude extraction uncertainty and the noise-to-signal ratio, sampling rate of data acquisition and processing system, and the decay time of the cavity BPM is also proposed, which can also provide clear guidance for the design and optimization of the CBPM system.}},
}