When we port tune the EM model we can find a set of tunes that meet the rejection goal in the upper stopband, but the transmission zeros in the lower stopband are not distinct and rejection is compromised (see Figure 15). The low side transmission zeros disappear. If we model the capacitive probe carefully the network theory model agrees with the EM simulation.
Likewise, we can find a different tuning that meets the rejection in the lower stopband, but now the rejection in the upper stopband does not meet the specification (see Figure 16).
We conclude that there is no tuning solution that actually meets the symmetrical stopband rejection predicted by the coupling matrix. We can find a more symmetric solution by making the quad complex (adding a capacitive diagonal coupling). As pointed out by Wenzel,14 however, this simple addition can have a surprising impact on tuning sensitivity.
Finally, we noticed another measured versus modeled result in the literature that supports our analysis. It is another N = 6 folded combline filter. In Zhang et al. (Figure 13),16 the interior rejection peaks predicted by the coupling matrix are symmetric while the measured filter is asymmetric (see Figure 17).
Although no dimensions are given by Zhang et al.,16 we constructed a quick network theory model like Figure 2 based on an estimation of their geometry. With only a simple lumped capacitive coupling from resonator two to five and lumped element resonated couplings at the input and output, we produced the plot in Figure 18, which agrees well with the measured asymmetry.
As in Hagensen,15 the unproved claim is that parasitic couplings are the source of the transmission zero asymmetry. Again, we point out there are no parasitic couplings in the network theory model we derived. Rather, the simple quad is behaving as predicted by Wenzel.14
CONCLUSION
We have demonstrated simulation and design methods for practical combline filters using three distinct combinations of topology and technology. The emphasis is on finding methods that fully predict the filter performance in both the passband and stopbands. We have also pointed out where the popular coupling matrix synthesis may fall short in this regard. Our concern is that a student or novice engineer might assume that any coupling matrix synthesis result fully predicts the performance of the realized combline filter.
In the end, our own filter design flows rely on an early approximation of filter performance with network theory models and then a quick transition to 3D EM models that can be rapidly optimized using port tuning. The port tuning process can be automated to find exact dimensions, when needed, with a minimum number of EM simulations.17 The simple linear interpolation scheme described by Swanson17 is easily understood, far easier to implement and much more efficient than most EM based optimization methods currently available in the literature.
References
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