基于System Generator的宽带电力线脉冲噪声实现方法
发布时间：2018-07-23 07:59
【摘要】：随机脉冲噪声是影响用电信息采集系统中宽带电力线载波(BPLC)通信的关键因素。目前的评估测试技术中缺乏标准化的宽带电力线噪声建模和实现方法。研究了经典的Middleton Class-A脉冲噪声模型,分析了二项分布逼近泊松分布的条件,从伯努利实验模型出发,依据Middleton Class-A模型的脉冲指数设定满周期线性同余法生成伪随机序列的阈值,通过判定阈值以获取特定强度的泊松序列。该序列在加权因子部分进行数值运算,得到特定状态的噪声方差,利用乘法器与高斯白噪声序列相乘。所提Class-A脉冲噪声的System Generator模块化设计方法能够实现快速的算法验证,通过对比现场可编程门阵列(FPGA)输出与理论随机脉冲噪声的统计特性,证明了该实现方法的有效性与准确性。
[Abstract]:Random impulse noise is the key factor that affects the broadband power line carrier (BPLC) communication in the power information acquisition system. There is a lack of standardized modeling and implementation of wideband power line noise in current evaluation and testing techniques. The classical Middleton Class-A impulse noise model is studied, and the condition that binomial distribution approximates Poisson distribution is analyzed. Based on Bernoulli experimental model, the threshold of generating pseudorandom sequence is set according to the pulse exponent of Middleton Class-A model. A Poisson sequence of specific strength is obtained by determining the threshold. The sequence is numerically calculated in the weighting factor to obtain the noise variance of a given state. The multiplier is used to multiply the white noise sequence with Gao Si. The system Generator modularization design method of Class-A pulse noise can realize fast algorithm verification. By comparing the statistical characteristics of FPGA output and theoretical random impulse noise, the validity and accuracy of the method are proved.
【作者单位】： 重庆邮电大学通信与信息工程学院;国网重庆市电力公司电力科学研究院;国网重庆市电力公司博士后科研工作站;
【基金】：中国博士后科学基金资助项目(2015T80961) 重庆市自然科学基金资助项目(cstc2016jcyjA0214) 国家电网公司科技项目“用电信息采集系统及设备性能监测和诊断优化技术研究”~~
【分类号】：TM73;TM76
本文编号：2138732
[Abstract]:Random impulse noise is the key factor that affects the broadband power line carrier (BPLC) communication in the power information acquisition system. There is a lack of standardized modeling and implementation of wideband power line noise in current evaluation and testing techniques. The classical Middleton Class-A impulse noise model is studied, and the condition that binomial distribution approximates Poisson distribution is analyzed. Based on Bernoulli experimental model, the threshold of generating pseudorandom sequence is set according to the pulse exponent of Middleton Class-A model. A Poisson sequence of specific strength is obtained by determining the threshold. The sequence is numerically calculated in the weighting factor to obtain the noise variance of a given state. The multiplier is used to multiply the white noise sequence with Gao Si. The system Generator modularization design method of Class-A pulse noise can realize fast algorithm verification. By comparing the statistical characteristics of FPGA output and theoretical random impulse noise, the validity and accuracy of the method are proved.
【作者单位】： 重庆邮电大学通信与信息工程学院;国网重庆市电力公司电力科学研究院;国网重庆市电力公司博士后科研工作站;
【基金】：中国博士后科学基金资助项目(2015T80961) 重庆市自然科学基金资助项目(cstc2016jcyjA0214) 国家电网公司科技项目“用电信息采集系统及设备性能监测和诊断优化技术研究”~~
【分类号】：TM73;TM76
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