Efficient optimization‐oriented design methodology of high‐order 3‐D filters using 2‐D and 3‐D electromagnetic simulators

Abstract

SUMMARYThis paper proposes a computationally highly efficient interface between two-dimensional (2-D) and threedimensional (3-D) electromagnetic (EM) simulators for the optimization-oriented design of high-order 3-D filters. In a first step, the novel optimization-oriented design methodology aligns the 3-D EM simulator response with the 2-D EM simulator response of a low-order 3-D filter by using an inverse linear space mapping optimization technique. Then, a second mapping performs a calibration with the optimal 2-D and 3-D design parameters obtained from the first mapping. The optimization of high-order filters is carried out using only the efficient 2-D EM simulator, and the calibration equations directly give the design parameters of the 3-D filter. The potential and the effectiveness of the proposed optimization-oriented design methodology are demonstrated through the design of C-band 3-D evanescent rectangular waveguide bandpass filters with increasing orders from three to eight.

Filter design for folded canonical topologies based on equivalent circuit segmentation

“…However, the high number of iterations required by these algorithms leads to a significant computational cost. Space mapping optimization techniques are also useful options for efficient filter design tasks [8, 9,10,11]. This kind of techniques connects two models, coarse and fine, and sometimes it is difficult to find a good mapping between them.…”

Advanced filter design technique based on equivalent circuits and coupling matrix segmentation

“…This high sensitivity makes optimization techniques unreliable, and often find difficulties in the convergence of the final desired response. [10][11][12][13][14] The main drawbacks of these space-mapping optimization methods are the need of 2 models (coarse and fine), and the difficulty to find an initial design when a large number of parameters to be optimized is required. Otherwise, this kind of approaches usually gets trapped into local minima.…”

“…Special mappings are then derived to link with the accurate space models. [10][11][12][13][14] The main drawbacks of these space-mapping optimization methods are the need of 2 models (coarse and fine), and the difficulty to find an initial design when a large number of parameters to be optimized is required. Also, it is sometimes difficult to find nonlinear mappings between the coarse and fine models, specially if both models are not well aligned.…”

A design of waveguide elliptic filter based on resonant diaphragms with a complex aperture

“…However, despite of the considerable improvement of PC power, the synthesis problem remains a resource consuming problem. Therefore, it is of great importance to develop effective methods of computer simulation that can provide fast and accurate synthesis of devices with specified characteristics; see, eg, Hinojosa et al A further development of the equivalent circuits theory can be one of such methods.…”