数据采集与处理2019，Vol.34Issue(2)：214-222,9.DOI:10.16337/j.1004-9037.2019.02.003
基于压缩感知的电能质量压缩采样重构算法
Power Quality Compressed Sampling Reconstruction Algorithm Based on Compressed Sensing
摘要
Abstract
The modified compressive sampling matching pursuit (MCSMP) algorithm is proposed to solve the deficiency of the reconstruction of power quality disturbance signal based on compressive sampling matching pursuit (CoSaMP) algorithm. In the selection stage of the candidate sets, the MCSMP adopts the fuzzy threshold method instead of the fixed number compared with the CoSaMP, and uses the change of the correlation between the adjacent iterative sensing matrix and the residual error as the stop condition, which reduces the burden for the clipping of the backtrace process and the unnecessary iterations, and improves the efficiency of the algorithm. Simulation results show that:MCSMP algorithm is better than CoSaMP algorithm both in reconstruction performance and reconstruction time.关键词
电能质量/压缩感知/模糊阈值/信号重构Key words
power quality/compressed sensing/fuzzy threshold/signal reconstruction分类
信息技术与安全科学引用本文复制引用
张锐,吴庭宇..基于压缩感知的电能质量压缩采样重构算法[J].数据采集与处理,2019,34(2):214-222,9.基金项目
黑龙江省自然科学基金(E2015062)资助项目 （E2015062）
四川省科技计划(2015JY0234)资助项目 （2015JY0234）
