Volume 29 Issue 11
Nov.  2017
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Article Navigation >  High Power Laser and Particle Beams  > 2017  >  29(11): 114101
Fan Mengqiu, Lin Shengtao, Wu han, et al. Research progress of random fiber lasers’ characteristics in time-frequency-spatial domain[J]. High Power Laser and Particle Beams, 2021, 33: 111003. doi: 10.11884/HPLPB202133.210306
Citation: Gao Yang, Zhao Kunli, Han Chao. Design of S-band narrow-band bandpass bulk acoustic wave filter[J]. High Power Laser and Particle Beams, 2017, 29: 114101. doi: 10.11884/HPLPB201729.170195
shu

Design of S-band narrow-band bandpass bulk acoustic wave filter

doi: 10.11884/HPLPB201729.170195
  • 1.

    Institute of Electronic Engineering,CAEP,P.O.Box 919-512,Mianyang 621999,China;

  • 2.

    State Key Laboratory of Particle Detection and Electronics,Institute of High Energy Physics,CAS,Beijing 100049,China;

  • 3.

    School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China

  • Received Date: 2017-06-02
  • Rev Recd Date: 2017-07-05
  • Publish Date: 2017-11-15
    Abstract
  • An S band narrowband bandpass filter bulk acoustic wave(BAW)with center frequency 2.460 GHz, bandwidth 41 MHz, band insertion loss -1.154 dB, passband ripple 0.9 dB, out of band rejection about -42.5 dB@2.385 GHz and -45.5 dB@2.506 GHz was designed for potential UAV measurement and control applications. According to the design specifications, each FBAR stack was designed in BAW filter by using Mason model, each FBARs shape was designed with the method of apodizied electrode. The acoustic-electromagnetic co-simulation model was built to validate the performance of the designed BAW filter. The presented design procedure is a common one, and it has two characteristics: (1) an acoustic-electromagnetic(AEM) co-simulation method is used for the final BAW filter performance validation in the design stage, thus ensures over-optimistic designs by the bare 1D Mason model are found and rejected in time;(2) An in-house developed auto-layout method is used to get compact BAW filter layout, which simplifies iterative error-and-try work here and outputs necessary in-plane geometry information to the AEM co-simulation model.
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