Broadband Dense Frequency Signal Analysis Based on Alternating Direction Method

An alternating direction algorithm (ADA) is proposed in order to reduce the complexity of detecting broadband dense signals. First, the broadband dense frequency signal in the power system is modeled. Next, a sparse representation-based compressive-aware reconstruction model of the signal is constructed, and the importance of joint prior information for noise reduction in the signal analysis process is discussed. Finally, the joint prior model is solved by alternately updating the key variables to achieve the measurement of the original signal components. The simulation results show that the proposed algorithm has good performance in both harmonic modulation test and step-change test.