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使用现场可编程门阵列(FPGA)对数字脉冲形状分析进行硬件加速

Hardware Acceleration of Digital Pulse Shape Analysis Using FPGAs.

作者信息

González César, Ruiz Mariano, Carpeño Antonio, Piñas Alejandro, Cano-Ott Daniel, Plaza Julio, Martinez Trino, Villamarin David

机构信息

Instrumentation and Applied Acoustic Research Group, Universidad Politécnica de Madrid, 28031 Madrid, Spain.

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain.

出版信息

Sensors (Basel). 2024 Apr 25;24(9):2724. doi: 10.3390/s24092724.

DOI:10.3390/s24092724
PMID:38732830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11086082/
Abstract

The BC501A sensor is a liquid scintillator frequently used in nuclear physics for detecting fast neutrons. This paper describes a hardware implementation of digital pulse shape analysis (DPSA) for real-time analysis. DPSA is an algorithm that extracts the physically relevant parameters from the detected BC501A signals. The hardware solution is implemented in a MicroTCA system that provides the physical, mechanical, electrical, and cooling support for an AMC board (NAMC-ZYNQ-FMC) with a Xilinx ZYNQ Ultrascale-MP SoC. The Xilinx FPGA programmable logic implements a JESD204B interface to high-speed ADCs. The physical and datalink JESD204B layers are implemented using hardware description language (HDL), while the Xilinx high-level synthesis language (HLS) is used for the transport and application layers. The DPSA algorithm is a JESD204B application layer that includes a FIR filter and a constant fraction discriminator (CFD) function, a baseline calculation function, a peak detection function, and an energy calculation function. This architecture achieves an analysis mean time of less than 100 µs per signal with an FPGA resource utilization of about 50% of its most used resources. This paper presents a high-performance DPSA embedded system that interfaces with a 1 GS/s ADC and performs accurate calculations with relatively low latency.

摘要

BC501A传感器是一种常用于核物理中检测快中子的液体闪烁体。本文描述了一种用于实时分析的数字脉冲形状分析(DPSA)的硬件实现。DPSA是一种从检测到的BC501A信号中提取物理相关参数的算法。硬件解决方案在一个MicroTCA系统中实现,该系统为带有赛灵思ZYNQ Ultrascale-MP SoC的AMC板(NAMC-ZYNQ-FMC)提供物理、机械、电气和冷却支持。赛灵思FPGA可编程逻辑实现了与高速ADC的JESD204B接口。物理层和数据链路层的JESD204B使用硬件描述语言(HDL)实现,而赛灵思高级合成语言(HLS)用于传输层和应用层。DPSA算法是一个JESD204B应用层,包括一个FIR滤波器和一个恒比鉴别器(CFD)函数、一个基线计算函数、一个峰值检测函数和一个能量计算函数。该架构实现了每个信号的分析平均时间小于100微秒,FPGA资源利用率约为其最常用资源的50%。本文提出了一种高性能的DPSA嵌入式系统,该系统与1 GS/s ADC接口,并以相对较低的延迟进行精确计算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/1fe4ac8e4d3c/sensors-24-02724-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/1ce2510ca6a7/sensors-24-02724-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/df12f4212676/sensors-24-02724-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/78a53f8095b8/sensors-24-02724-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/2b4262c3ecb7/sensors-24-02724-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/ebe507b2c515/sensors-24-02724-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/d085254df96d/sensors-24-02724-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/74aa8cce8c21/sensors-24-02724-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/1fe4ac8e4d3c/sensors-24-02724-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/1ce2510ca6a7/sensors-24-02724-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/df12f4212676/sensors-24-02724-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/78a53f8095b8/sensors-24-02724-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/2b4262c3ecb7/sensors-24-02724-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/ebe507b2c515/sensors-24-02724-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/d085254df96d/sensors-24-02724-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/74aa8cce8c21/sensors-24-02724-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2fa/11086082/1fe4ac8e4d3c/sensors-24-02724-g008.jpg

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本文引用的文献

1
Characterizations of BC501A and BC537 liquid scintillator detectors.
Appl Radiat Isot. 2015 Oct;104:15-24. doi: 10.1016/j.apradiso.2015.06.008. Epub 2015 Jun 19.