一种基于峰度系数的脉冲噪声检测算法的研究及其FPGA实现

周晓波; 王洪; 周郭飞

doi:10.11999/JEIT200460

一种基于峰度系数的脉冲噪声检测算法的研究及其FPGA实现

doi: 10.11999/JEIT200460

1.
北京交通大学电子信息工程学院北京 100044
2.
公安部第一研究所北京 100048

基金项目: 国家自然科学基金(U1534201)

详细信息

作者简介:
周晓波：男，1973年生，副教授，研究方向为信号处理、专用集成电路设计

王洪：男，1996年生，硕士生，研究方向为信号处理、数字集成电路设计

周郭飞：男，1976年生，副研究员，研究方向为微弱信号处理技术和集成电路设计

通讯作者:
王洪　18120019@bjtu.edu.cn

中图分类号: TN911.72
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- 被引次数: 0
出版历程
- 收稿日期: 2020-06-08
- 修回日期: 2020-11-27
- 网络出版日期: 2020-12-02
- 刊出日期: 2021-07-10

An Impulse Noise Detection Algorithm Based on Kurtosis and FPGA Implementation

1.
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
2.
The First Research Institute of the Ministry of Public Security, Beijing 100048, China

Funds: The National Natural Science Foundation of China (U1534201)

摘要

摘要: 针对激光测振系统中散斑效应导致的语音脉冲噪声，该文研究了一种基于4阶累积量的峰度检测算法，推导了峰度系数和归一化峰度系数的数学迭代公式，并在FPGA的实现中提出了一种峰度系数的动态阈值的判决方法。基于实验数据的仿真结果表明，该算法较理论公式减少了约25%的计算量，节省了硬件资源，对较小幅度的脉冲噪声具有更敏感的检测性能。
- 激光测振 /
- 散斑效应 /
- 脉冲噪声 /
- 峰度检测
Abstract: For the speech impulse noise caused by the speckle effect in the laser vibration measurement system, a kurtosis detection algorithm based on the fourth-order cumulant is studied, and the mathematical iterative formulas for the kurtosis coefficient and the normalized kurtosis coefficient are deduced, and a method for determining the dynamic threshold of kurtosis coefficient is proposed in FPGA. The simulation results based on experimental data show that the algorithm reduces the calculation by about 25% compared with the theoretical formula and saves hardware resources, and has a more sensitive detection performance for lower amplitude impulse noise.
- Laser vibration measurement /
- Speckle effect /
- Impulse noise /
- Kurtosis detection

HTML全文

图 1 改进的峰度系数迭代算法与初始迭代算法的性能比较(μ=0.9, λ=0.9)

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图 2 μ值对峰度系数的影响

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图 3 基于FPGA的改进峰度系数迭代方法结构图

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图 4 FPGA仿真结果

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图 5 峰度系数与动态阈值分析

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表 1 4种峰度系数迭代算法计算量对比

算法 ± × ÷

峰度系数 4 8 0
归一化峰度系数 4 8 1
改进的峰度系数 3 6 0
改进的归一化峰度系数 3 6 1

下载: 导出CSV

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