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第 37 卷 第 6 期 Vol. 37, No.6
2018 年 11 月 Journal of Applied Acoustics November, 2018
⋄ 研究报告 ⋄
级联积分梳状滤波器在超声检测系统中的应用 ∗
周文佳 1,2 毛 捷 1† 冷 涛 1 廉国选 1
(1 中国科学院声学研究所 声场声信息国家重点实验室 北京 100190)
(2 中国科学院大学 北京 100049)
摘要 在超声探伤系统中,通常要求回波幅度的垂直线性误差小于 ±5%,通常采样率需 10 倍于原始信号频率
以上,对于高频探头来说对仪器的 A/D 性能要求较高。该文提出了一种基于现场可编程门阵列的对探伤信号
恢复幅值方法,采用高效的级联积分梳状滤波器 (CIC 滤波器) 及其 FIR 补偿滤波器进行滤波插值,在有限的
采样频率下实现了高频信号的幅值恢复,并通过 MATLAB 和自研硬件平台进行了仿真、架构和实验,验证了
CIC 插值滤波器的滤波误差小于 2.2% 且效率高于具有同等插值效果的 FIR 插值滤波器,具备很好的工程应
用价值。
关键词 CIC 滤波器,滤波插值,FIR 补偿滤波器,现场可编程门阵列
中图法分类号: O426.9 文献标识码: A 文章编号: 1000-310X(2018)06-0861-06
DOI: 10.11684/j.issn.1000-310X.2018.06.005
Application of cascaded integral comb filter in the ultrasonic detection system
ZHOU Wenjia 1,2 MAO Jie 1 LENG Tao 1 LIAN Guoxuan 1
(1 State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China)
(2 Chinese Academy of Sciences, Beijing 100049, China)
Abstract In the ultrasonic detection system, generally the vertical linearity error of the echo signal amplitude
should be less than ±5%. Usually, the sampling rate is 10 times higher than the original signal frequency. For
probe with high frequency, the A/D performance of the equipment is required to be rather high. In this
paper, an interpolation method which is based on FPGA and aiming to restore the amplitude is proposed.
The efficient cascaded integral comb filter(CIC filter) and its FIR compensation filter are used as interpolation
filter, so that the amplitude of high frequency signal can be regained from a limited sampling frequency. The
results are verified by MATLAB, hardware platform and experiments. It is demonstrated that the error rate of
CIC interpolation filter is less than 2.2% and the efficiency is higher than that of FIR interpolation filter with
equivalent interpolation effect. It has great engineering value.
Key words CIC filter, Interpolation, FIR compensation filter, Field-programmable gate array
2018-03-05 收稿; 2018-06-23 定稿
中国科学院知识创新项目 (CXJJ-16Z220)
∗
作者简介: 周文佳 (1992- ), 女, 黑龙江大庆人, 硕士研究生, 研究方向: 信号与信息处理。
† 通讯作者 E-mail: maojie@mail.ucas.ac.cn