• DocumentCode
    1686497
  • Title

    Analysis of a noise canceling LNA using a Si2 OpenAccess based tool — CADIT

  • Author

    Alarcao, Joao P. ; Oliveira, Luis B. ; Oliveira, Joao P. ; Santos-Tavares, Rui

  • Author_Institution
    Dept. of Electr. Eng. (DEE), Univ. Nova de Lisboa (UNL), Caparica, Portugal
  • fYear
    2015
  • Firstpage
    464
  • Lastpage
    469
  • Abstract
    Noise canceling techniques have been successfully applied to the design of modern multi-band RF-CMOS inductor-less receivers. However, low voltage supply requirements are imposing new design challenges which are pushing the operation of the MOS transistor into moderate or weak inversion, making the setup of closed sizing expressions a difficult task. This paper presents a Si2 OpenAccess based circuit analysis tool that can combines a symbolic equation extractor with the transistor parameters obtained from precise models, reinforcing the performance estimation while reducing the design time. The tool is applied for a wide-band Low Noise Amplifier (LNA). The results are validated by comparing them with values obtained from SpectreRF eletrical simulations using a 130 nm CMOS technology.
  • Keywords
    CMOS integrated circuits; UHF amplifiers; UHF integrated circuits; electronic design automation; integrated circuit modelling; low noise amplifiers; public domain software; radio receivers; CADIT; CMOS technology; MOS transistor; OpenAccess based tool; circuit analysis tool; multiband RF-CMOS inductorless receiver; noise canceling LNA; size 130 nm; symbolic equation extractor; transistor parameter; wide band low noise amplifier; Integrated circuit modeling; Mathematical model; Noise; Noise measurement; Semiconductor device modeling; Solid modeling; Transistors; CAD; EDA Tool; Modified Nodal Analysis; RF-CMOS; Si2 OpenAccess; Weak Inversion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
  • Conference_Location
    Torun
  • Print_ISBN
    978-8-3635-7806-0
  • Type

    conf

  • DOI
    10.1109/MIXDES.2015.7208564
  • Filename
    7208564