Optimal Design of Three-IDT Type SAW Filter By using Variable Neighborhood Search.

Tagawa, Kiyoharu; Tokunaga, K.; Haneda, Hiromasa; Igaki, Tsutomu; Seki, S.

doi:10.1541/ieejeiss.123.407

Cited by 4 publications

(7 citation statements)

References 3 publications

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“…Then, by using the elements s ij of the scattering matrix S, we define several criteria of the frequency response characteristics of SAW filters, namely, the standing wave ratio of the input port Γ 1 , the standing wave ratio of the output port Γ 2 , and the attenuation Γ 3 [6]: …”

Section: Performance Criteria Of Frequency Response Characteristicsmentioning

confidence: 99%

“…Therefore, for solving the optimization problem, we employ a variable neighborhood search (VNS) [6] and propose a new technique that reduces the computational time spent by the VNS.…”

Section: Vns and Fast Vnsmentioning

confidence: 99%

“…Then, at each of the frequencies ω r (r = 1 to m), we specify the desirable frequency response characteristics of the SAW filter by using the upper U h (ω r ) and lower L h (ω r ) bounds of the criteria Γ h (ω r ) (h = 1 to 3) shown in Eqs. (4) to (6). Further, let Γ h (a, x, ω r ) be the values of the criteria Γ h evaluated under a decision variable x and a set of the circuit parameters a = (τ, b s , τ v ) illustrated in Section 2.1 at each frequency ω r .…”

Section: Objective Functionmentioning

confidence: 99%

“…The structural design of SAW filters can also be formulated as an optimization problem. Therefore, for solving the optimization problem, various optimization methods, such as the iterative improvement method [4], genetic algorithms (GAs) [5], and variable neighborhood search (VNS) [6], are reported.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in order to reduce the computational time spent by VNS, we modify the introvert VNS proposed earlier in Ref. 6. Because the modified VNS limits the investigation to promising areas of neighborhoods, it can save large amounts of time without losing its search performance.…”

Section: Introductionmentioning

confidence: 99%

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Robust optimum design of SAW filters by the penalty function method

Tagawa

Ohtani

Igaki

et al. 2006

Electrical Engineering Japan

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SUMMARYIn order to increase the reliability of surface acoustic wave (SAW) filters, a robust optimum design technique is presented. The frequency response characteristics of SAW filters are governed primarily by their geometrical structures, that is, the configurations of the interdigital transducers (IDTs) and reflectors fabricated on piezoelectric substrates. To choose desirable structures of SAW filters through computer simulation, conventional design techniques utilize the equivalent circuit model of the IDT. However, they have rarely considered the accuracy of the underlying model, which may be degraded by the dispersion of the circuit parameters. In this paper, considering the errors of these parameters, the robust optimum design of SAW filters is formulated as a constrained optimization problem. Then, a penalty function method combined with an improved variable neighborhood search is proposed and applied to the problem. Computational experiments conducted on a practical design problem of a resonator type SAW filter demonstrate the usefulness of the proposed method.

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Section: Performance Criteria Of Frequency Response Characteristicsmentioning

confidence: 99%

“…Therefore, for solving the optimization problem, we employ a variable neighborhood search (VNS) [6] and propose a new technique that reduces the computational time spent by the VNS.…”

Section: Vns and Fast Vnsmentioning

confidence: 99%

Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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