Peak tailing cancellation techniques for digital CR-(RC)n filter

Xu, Hong; Wang, Huaiping; Zhou, Jianbin; Yang, Xiaoyan; Wang, Min; Ma, Yan; Zhou, Wei; Liu, Yi; Zhu, Xiaoguang

doi:10.1016/j.apradiso.2020.109471

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Figure 5 depicts the CR-RC n and the RL-RC n configuration of the (n + 1) order bandpass filter, which consists of an CR or RL differentiator and n integrators [ 17 ]. Cascading 1st order filters results in higher order filter topologies.…”

Section: Integrated Filter Design Theory and Techniquesmentioning

confidence: 99%

Integrated Filter Design for Analog Field Mill Sensor Interface

Agorastou

Michailidis

Lemonou

et al. 2023

Sensors

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The design process of an integrated bandpass filter targeted for the noise filtering stage of the synchronous demodulation unit of an electric field mill sensor interface is presented. The purpose of this study of filter integration techniques is to avoid the challenging and, in some cases, impossible passive element integration process and to incorporate the final filter design in an entirely integrated field mill sensing system with superior performance and an optimized silicon-to-cost ratio. Four different CMOS filter implementations in the 0.18 μm process of XFAB, using OTA (Operational Transconductance Amplifier)-based configurations for passive element replacement in cascaded filter topologies and leapfrog techniques, are compared in terms of noise performance, total harmonic distortion, dynamic range, and power consumption, as well as in terms of integrability, silicon area, and performance degradation at process corners/mismatches. The optimum filter design performance-wise and process-wise is included in the final design of the integrated analog readout of a field mill sensor, and post-layout simulation results of the total circuit are presented.

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Section: Integrated Filter Design Theory and Techniquesmentioning

confidence: 99%

Integrated Filter Design for Analog Field Mill Sensor Interface

Agorastou

Michailidis

Lemonou

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Regarding this shortcoming, both the step and exponential decay responses of the CR-(RC) 𝑛 filter were discussed in our work [27]. (𝑛 + 1) poles, n poles represented the n-stage RC filter and the other pole was associated with the one-stage CR filter, were found in the response functions of the CR-(RC) 𝑛 filter.…”

Section: Introductionmentioning

confidence: 95%

An adaptive digital filter for quasi-Gaussian pulse shaping

et al. 2023

J. Inst.

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The radiation detector output is often shaped into Gaussian or quasi-Gaussian shape to improve the measurement performance. An adaptive digital Step-Gaussian filter is presented for quasi-Gaussian pulse shaping in this paper. It can be applied for both exponential decay input and step input. The transfer function of the filter is established. The amplitude-frequency features of the new filter are compared with the PZC-(RC) n filter and the CR-(RC) n filter. The results indicate that the new filter has the same amplitude-frequency features as the PZC-(RC) n filter and it possesses more effective filter performance than the CR-(RC) n filter. An X-ray fluorescence measurement system based on a FAST-SDD detector is set up for experiments. The proposed filter is verified by the measured pulses that are generated from a manganese sample. The shape of the filter output shows that the Step-Gaussian filter can eliminate the undershoot that exists in the CR-(RC) n filter output. The amplitude spectrums with different shaping times are created to study the shape of the characteristic peak. The results show that the Step-Gaussian filter can cancel the low-energy peak tailing of the 5.89 keV peak. The peak shape parameter, FWTM/FWHM ratio, is also introduced to evaluate the performance of peak shape improvement. The 5.89 keV peaks of the spectrums that are generated by using Step-Gaussian filter are closer to Gaussian distribution than that of the CR-(RC) n filter.

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