稳态电能质量数据压缩传感方法研究
曹英丽;杜文;许童羽;杨勇
【期刊名称】《沈阳农业大学学报》 【年(卷),期】2013(044)003
【摘要】The steady power quality signals were acquired by linear measuring using Gaussian random matrix,in order to get its linear measurements,considering its sparsity in distribution network.And the compressive sensing signals were reconstructed by orthogonal matching pursuit algorithm based on Fourier projection space.By measuring the recovery precision of different sparse features and different
measuring
times,the
relationships
among
sparsity,measurement times and reconstruction precision were revealed.The experiment results showed that the provided method could realize compressive sensing of steady power quality signals efficiently,which can break the constraint of Nyquist sampling frequency (two times of the highest oriainal frequency) and provide a new idea to solve the problems of mass data storage and transmission in distribution network.%针对配电网稳态电能质量稀疏特性,通过高斯随机矩阵对其进行线性观测,获取线性测量值；基于傅里叶投影空间,运用正交匹配追踪算法实现压缩感知信号的重构.最后通过测定不同稀疏特性信号、不同测量次数下的重构精度,揭示信号稀疏性、观测次数和重构精度之间的约束关系.试验结果表明:本研究方法可有效实现稳态电能质量数据的压缩传感与重构,突破了必须大于
稳态电能质量数据压缩传感方法研究
