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基于多相结构小波滤波器组的高效测量算法研究

High efficient measurement algorithm based on multiphase structure of wavelet filter bank
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摘要 介绍了小波子带功率信号分解方法的原理与算法,提出了多相结构小波电参量测量方法,分析推导了双通道IIR正交多相小波滤波器组的结构,得到一种新型电参量信号的高效测量算法,解决了传统测量算法(FFT)、普通小波测量算法(FIR、IIR直接Ⅰ型)计算量大,时间复杂度高的问题。实验结果表明:采用文章高效测量算法,测量电流有效值、电压有效值、有功功率和无功功率,算法所需的时间小于FFT测量算法和普通小波测量算法的四分之一,测量算法的准确度优于1×10^(-4),表明多相结构小波电参量高效测量算法计算时间短、测量准确度高。 In this paper, we introduce the principle and algorithm of wavelet sub-band power signal decomposition method, and put forward the muhiphase structure wavelet electric parameter measurement method, then, analyze and derive the structure of two-channel IIR quadrature muhiphase filter bank to obtain a new high efficient measurement algorithm for electric parameter signals, which solve the problem of large amount of calculation and high time complex- ity in traditional measurement algorithm(FFT) and ordinary wavelet measurement algorithm( FIR, IIR direct type Ⅰ ).The experimental results show that when we adopt the high efficient measurement algorithm to measure the current effi- cient value, voltage efficient value, active and reactive power, the time needed by the algorithm is less than a quarter of the FFT measurement algorithm and ordinary wavelet measurement algorithm needed, and the accuracy of the meas- urement algorithm is better than that of 1 × 10 -4, which indicates that the muhiphase structure wavelet electric param- eter measurement method has short calculation time and high measurement accuracy.
出处 《电测与仪表》 北大核心 2015年第23期43-47,共5页 Electrical Measurement & Instrumentation
关键词 小波变换 测量算法 多相结构 小波滤波器组 wavelet transform;measurement algorithm;multiphase structure;wavelet filter bank
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