Abstract: Based on the high-resolution spectral estimation method in modern signal processing, a postprocessing method is proposed to analyze the data series, which are generated during the iterations of the finite difference time domain (FDTD) method used to calculate the energy bands of two-dimensional (2D) phononic crystal. Numerical simulation results show that, compared with the postprocessing method based on Fourier transform, the proposed postprocessing method can reduce the number of iterations of the FDTD method significantly while yielding precise estimation of the eigenfrequencies of the 2D phononic crystal at the same time.

Key words: Based on the high-resolution spectral estimation method in modern signal processing, a postprocessing method is proposed to analyze the data series, which are generated during the iterations of the finite difference time domain (FDTD) method used to calculate the energy bands of two-dimensional (2D) phononic crystal. Numerical simulation results show that, compared with the postprocessing method based on Fourier transform, the proposed postprocessing method can reduce the number of iterations of the FDTD method significantly while yielding precise estimation of the eigenfrequencies of the 2D phononic crystal at the same time.