电测与仪表2017，Vol.54Issue(1)：95-100,6.
基于压缩感知的电力信号压缩与重构研究
Research on power signal compression and reconstruction based on compressed sensing
摘要
Abstract
A method for compressive sampling and reconstruction of power signal based on compressed sensing theory A method for compressive sampling and reconstruction of power signal based on compressed sensing theoryis proposed to solve the problem of acquisition and compression of the electrical signal , and thus avoiding the redundancysampling.Firstly, the implementation steps and the characteristic of the compressed sensing reconstruction al -gorithm such as IRLS, OMP, SP and SAMP are analyzed.Secondly, one-dimensional sparse signal and the power signalcontaining harmonics and inter-harmonics components, which are sparse under the Fourier transform are recon -structed under the four algorithms.The simulation results show that the greedy algorithm is more suitable for the elec -trical signal reconstruction due to its fast speed and low computational complexity .Compared with other greedy algorithms,the SAMP algorithm can reconstruct the original electrical signal with fewer sampling in the situation of un -known sparsity.关键词
压缩感知/电力信号/贪婪重构算法/稀疏度Key words
compressed sensing/power signal/greedy reconstruction algorithm/sparsity分类
信息技术与安全科学引用本文复制引用
陈雷,郑德忠,王忠东..基于压缩感知的电力信号压缩与重构研究[J].电测与仪表,2017,54(1):95-100,6.基金项目
秦皇岛市科技支撑计划项目(201302A042) （201302A042）
