A Novel Method for Diagnosis of Time-Modulated Arrays Based on Compressive Sensing

In this paper, a novel method is proposed for diagnosing impaired time-modulated arrays (TMAs). The TMA diagnosis problem is modeled as a sparse recovery problem for the equivalent excitations at the center frequency and each harmonic frequency based on compressive sensing (CS). Then, a mixed l1/l2-norm minimization method is proposed to realize the multi-frequency joint diagnosis. The proposed method can improve the diagnosis accuracy and reduce the number of spatial samples compared with the isolated single frequency diagnosis methods. Numerical examples and successful comparisons indicate that the proposed method has a good prospect in the application of TMAs.