A hybrid 2-D and 3-D discontinuous Garlerkin time-domain (DGTD) method is proposed for transient analysis of multiple arbitrarily shaped antipads in a dispersive parallel-plate pair. In the proposed hybrid method, the domains where only the zeroth-order parallel-plate mode exists are modeled by the 2-D DGTD, and the remaining domains are modeled by the 3-D DGTD. Each element is independent with others, thus easily parallelizable. Because higher order modes will propagate in the parallel-plate pair, the spatial domain decomposition should be time-dependent. For domain decomposition criterion at time step $\text t_\text n$ , the electromagnetic field distribution at the previous time…

Electromagnetic radiation for a printed circuit board (PCB) midplane connector is studied in this paper. By applying integral-equation (IE) based method and characteristic mode (CM) analysis, the current is split into radiating and non-radiating ones. The radiated power from each part of the structure can be quantified using the radiating current. Therefore, the radiation hot spot can be identified for both edge-side coupled and broad-side coupled connectors. Furthermore, the radiation characteristics for these connectors are compared. Read more Ying S. Cao, Xu Wang, Wending Mai, Yansheng Wang, Lijun Jiang, Albert E. Ruehli, Shiquan He, Huapeng Zhao, Jun Hu, Jun Fan,…

An efficient hybrid 3D and 2D discontinuous Garlerkin time-domain (DGTD) methods is proposed for signal/power integrity analysis of multiple arbitrarily shaped anti-pads in power-ground. The entire structure is decomposed into anti-pad-domain (3D) and plate-domain (2D). Complicated fields exist around anti-pad, yet, in plate domain, only zeroth-order parallel-plate mode exists. Therefore, triangular prism element (3D) could be simplified as triangle element (2D), which has fewer unknowns. The accuracy of the hybrid method has been validated by comparison with commercial software. Its flexibility, and enhancement of efficiency, are also demonstrated. Read more Wending Mai, and Jun Hu