CR-RCm滤波器数字化研究

doi:10.11889/j.0253-3219.2017.hjs.40.060403

Nuclear Techniques ›› 2017, Vol. 40 ›› Issue (6): 60403-060403.doi: 10.11889/j.0253-3219.2017.hjs.40.060403

• NUCLEAR ELECTRONICS AND INSTRUMENTATION • Previous Articles Next Articles

Digitalization of CR-RC^m filter

LIU Yinyu, ZHANG Jinglong, ZHOU Rong, YANG Chaowen

College of Physical Science and Technology, Key Laboratory of Radiation Physics and Technology, Ministry of Education, Sichuan University, Chengdu 610064, China

Received:2017-02-17 Revised:2017-03-14 Online:2017-06-10 Published:2017-06-06
About author:10.11889/j.0253-3219.2017.hjs.40.060403
Supported by:
Supported by National Natural Science Foundation of China (No.11205108, No.11475121), Excellent Youth Fund of Sichuan University (No.2016SCU04A13)

Abstract

Abstract: Backgrounds:The CR-RC^m filter is a classic and widely used filter for nuclear analog signal processing circuit. It possesses the advantages of superior performance and simple implementation.Purpose:This study aims to digitize CR-RC^m filter and discuss its performance with different RC and m parameters. Methods:Based on the linear differential equation with constant coefficients of analog RC (CR) filter's input and output voltage, recursive formulas of the digitized CR high-pass filter and RC low-pass filter were derived, and system transfer function of digitalization CR-RC^m filter was further deduced. After analysis of the characteristics of digitalized CR-RC^m filter in time-domain and frequency-domain, both the energy spectra and the resolution of full energy peak before and after the CR-RC^m filter were experimental tested. Results:The digitalized nuclear pulse signal was shaped as Gaussian waveform by CR-RC^m filter. The energy resolution of ¹³⁷Cs spectrum was improved 1% through CR-RC^m filter and could further enhanced by adjusting RC and m parameters.Conclusion:Digitalization CR-RC^m filter could be used to reform pulse signal to increase the signal-to-noise (SNR), hence improve spectrum resolution of nuclear signal.

Key words: Digitize, RC filter, CR-RC^m shaping, Gauss shaping, Energy resolution

CLC Number:

TL82

LIU Yinyu, ZHANG Jinglong, ZHOU Rong, YANG Chaowen. Digitalization of CR-RC^m filter[J].Nuclear Techniques, 2017, 40(6): 60403-060403.

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