Digital BPM channel coefficient acquisition and amplitude automatic calibration method and system

Abstract

The invention discloses a digital BPM channel coefficient acquisition and amplitude automatic calibration method and system. The method includes inputting the analog input signals with the same phaseand amplitude into the signal input ends of channels, acquiring the digital output signals, integrating the absolute value of the amplitude of the digital output signal of the channel to obtain the data amplitude integral value of each channel, wherein the channel coefficient of each channel is the quotient between the minimum value of the data amplitude integral value of each channel and the dataamplitude integral value of each channel; S10, reading the channel coefficients of all channels stored in the storage module, multiplying the channel coefficients by the original data corresponding to each channel, obtaining the calibrated data, and outputting the calibrated data, and determining whether an automatic amplitude calibration command is received or not, if not, repeatedly executing S10, and if yes, executing S20, the difference in the amplitude of the signals is reduced, the measurement precision is improved, the operation is simple, and the workload of engineering personnel canbe reduced.

Description

technical field [0001] The present disclosure generally relates to the field of high-energy physics, specifically to the field of particle accelerators, and in particular to a method and system for acquiring channel coefficients and automatically calibrating amplitudes of digital BPM. Background technique [0002] In the field of particle accelerators, a digital BPM (Beam Position Monitor, beam position detector) is a key device for beam position measurement. The system hardware is designed for the purpose of completing high-precision beam position measurement. The hardware structure mainly includes: digital BPM probe, coaxial transmission cable, radio frequency conditioning circuit and digital processing circuit. The software algorithm is implemented in the FPGA chip of the digital processing circuit, and the computer language used is HDL language. The data for calculating the beam position is obtained by sampling the 4 signals output from the RF conditioning circuit by th...

AI Technical Summary

Problems solved by technology

The data for calculating the beam position is obtained by sampling the 4 signals output from the RF conditioning circuit by the ADC of the digital processing circuit, and the inconsistency of the 4 signal channels will cause differences in the amplitude and phase of the 4 signals, thereby reducing the accuracy of position measurement. precision

[0003] The existing method is mainly to achieve the same amplitude of the analog signal transmitted to the digital sampling processing circuit by adjusting the device parameters of the 4-way front-end radio frequency conditioning circuit, and then achieve the basically consistent amplitude of the ADC sampling data. This method mainly has the following two disadvantages: (1) )Adjust the parameters of the front-end RF conditioning circuit device to achieve the same signal amplitude of the four channels, which is very difficult in RF circuit debugging

(2) In actual engineering applications, the workload of adjusting the parameters of hundreds of sets of front-end RF conditioning circuit devices to ensure that the signal amplitudes of the four channels of each BPM system are basically the same is unbearable for engineers

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