Reconstruction to Power Quality Disturbance signal based on Iterative-Reweighed-Least-Squares Algorithm
Hua Ouyang, Xin Hu, Xinguo Hou · 2019
Reconstruction search algorithm is one of the key problems of compressed sensing. The iterative reweighted least square (IRLS) algorithm is used to reconstruct the power quality disturbance signal. By Relaxing the discontinuity function into a smooth or continuous function, the P0 problem is turned into standard linear algebra and Lagrangian multiplier method. The simulation results show that the IRLS algorithm has similar SNR performance with the widely used Orthogonal Matching Pursuit algorithm.