• DocumentCode
    3163223
  • Title

    Ku-band bandpass filter using surface micromachined process

  • Author

    Islam, M.F. ; Ali, M. A Mohd ; Yeop Majlis, Burhanuddin

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2009
  • fDate
    7-10 Dec. 2009
  • Firstpage
    547
  • Lastpage
    550
  • Abstract
    This paper presents a Ku-band microstrip bandpass filter (BPF) based on surface micromachining technique. Surface micromachining technique is used for simplicity and ease of fabrication. Full-wave electromagnetic simulations are performed to accurately predict the frequency response of the filter. The filter is fabricated on 600 ¿m-thick silicon substrate which is compatible with the new SiGe process. The fabricated filter occupies a chip area of 8 × 3 mm2 and achieved an insertion loss of less than 2 dB and return loss of less than -20 dB throughout the operation band. The filter has a center frequency of 15 GHz with a 3 dB bandwidth of about 6 GHz covering the frequency ranges from 12 GHz to 18 GHz. This filter is widely used today in radar, satellite and terrestrial communications applications.
  • Keywords
    Ge-Si alloys; band-pass filters; frequency response; micromachining; microwave filters; semiconductor materials; Ku-band microstrip bandpass filter; Si; SiGe; frequency 12 GHz to 18 GHz; frequency response; full-wave electromagnetic simulations; insertion loss; size 600 mum; surface micromachining technique; Band pass filters; Bandwidth; Fabrication; Frequency response; Germanium silicon alloys; Insertion loss; Micromachining; Microstrip filters; Predictive models; Silicon germanium; BPF; RF MEMS; microwave communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 2009. APMC 2009. Asia Pacific
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2801-4
  • Electronic_ISBN
    978-1-4244-2802-1
  • Type

    conf

  • DOI
    10.1109/APMC.2009.5384172
  • Filename
    5384172