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基于数字信号处理中的半解析递归卷积(SARC)算法,提出了一种用于色散介质电磁特性分析的半解析递归卷积时域有限差分方法(SARC FDTD).该方法既保持了FDTD方法处理复杂目标的灵活性,又吸取了线性系统SARC算法的绝对稳定性和高精度、低内存、高效率等优点,只需给出色散介质模型的极点和对应系数,即可运用SARC FDTD递推公式和通用程序进行计算,具有较好的通用性.通过Debye,Drude和Lorentz三种常用色散介质模型对算法进行了验证.
Based on the semi-analytical recursive convolution (SARC) algorithm in digital signal processing, a semi-analytical recursive convolution finite-difference time-domain method (SARC FDTD) for the analysis of electromagnetic properties of dispersive media was proposed. It also absorbs the absolute stability, high accuracy, low memory and high efficiency of the linear system SARC algorithm by taking advantage of the flexibility of complex targets and SARP FDTD recursion by just giving the poles and corresponding coefficients of the dispersion medium model Formulas and general programs, and has good generality. The algorithm is validated by Debye, Drude and Lorentz three common dispersion media models.