• DocumentCode
    3220519
  • Title

    Vertical vias models for LTCC circuits based on BP neural networks

  • Author

    Jingxian, Zhang ; Youqi, Gu ; Lei, Wang

  • Author_Institution
    Telecommun. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    The low temperature co-fired ceramics (LTCC) is an ideal packaging method that can be used to design highly reliable and miniature microwave multi-chip modules (MMCM). In this paper, modeling and simulation of the three dimensional vertical interconnection were carried out using three dimensional electromagnetic field analysis software HFSS. The BP neural network was used to forecast the parasitics of the vertical through hole. Good agreement was acquired between the simulated results and experimental results. The goal of this paper is to make the vertical vias as a circuit part, so as to enhance the efficiency of the design and processing of microwave circuits based on the LTCC. Simultaneously, it will also improve the design accuracy of the LTCC microwave circuits, providing the technical support for the design of more complex microwave circuits.
  • Keywords
    ceramic packaging; integrated circuit interconnections; microwave circuits; neural nets; BP neural networks; LTCC circuits; LTCC microwave circuits; low temperature co-fired ceramics; packaging method; three dimensional electromagnetic field analysis software HFSS; three dimensional vertical interconnection; vertical vias models; Integrated circuit interconnections; Integrated circuit modeling; Microstrip; Microwave circuits; Solid modeling; Training; 3D-MCM; BP Neural Network; LTCC; Vertical Vias;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6013719
  • Filename
    6013719