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  

An Impulse Noise Detection Algorithm Based on Kurtosis and FPGA Implementation

作　　者：周晓波[1] 王洪 周郭飞 ZHOU Xiaobo;WANG Hong;ZHOU Guofei(School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;The First Research Institute of the Ministry of Public Security,Beijing 100048,China)

机构地区：[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

出　　处：《电子与信息学报》2021年第7期1816-1820,共5页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(U1534201)。

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。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.

关 键 词：激光测振 散斑效应 脉冲噪声 峰度检测 

分 类 号：TN911.72[电子电信—通信与信息系统]