As a lately developed technique for FDTD, R FDTD (reduced FDTD) algorithm is complicated for dealing with the problem of excitation setting. In order to get rid of such difficulty, two simple techniques are proposed...As a lately developed technique for FDTD, R FDTD (reduced FDTD) algorithm is complicated for dealing with the problem of excitation setting. In order to get rid of such difficulty, two simple techniques are proposed. One technique is to classify field points into two types according to the value of electric divergence equation. The other technique is subregion connection. The corresponding modified R FDTD can not only inherit the memory efficient character, but also eliminate the complexity aroused by the existence of excitation and conductors. Simulation results are compared between those obtained from traditional FDTD and those from R FDTD. Good agreement is observed.展开更多
文摘As a lately developed technique for FDTD, R FDTD (reduced FDTD) algorithm is complicated for dealing with the problem of excitation setting. In order to get rid of such difficulty, two simple techniques are proposed. One technique is to classify field points into two types according to the value of electric divergence equation. The other technique is subregion connection. The corresponding modified R FDTD can not only inherit the memory efficient character, but also eliminate the complexity aroused by the existence of excitation and conductors. Simulation results are compared between those obtained from traditional FDTD and those from R FDTD. Good agreement is observed.
