• DocumentCode
    2152223
  • Title

    Research on the Genetic Algorithms applied to evolvement analog IC

  • Author

    Gao, Darning ; Wu, Wuchen ; Ye, Qing ; Ye, Tianchun

  • Author_Institution
    VLSI & Syst. Lab., Beijing Univ. of Technol., Beijing, China
  • fYear
    2008
  • fDate
    20-23 Oct. 2008
  • Firstpage
    1799
  • Lastpage
    1802
  • Abstract
    A module of genetic algorithms suitable for evolvement analog IC is designed, which don¿t relate with specific physical circuits and has excellent transplant ability. With the help of the interface module, the module adapted well to evolvement analog filter circuits and wide band high gain amplifier etc to optimize their performance. Using SMIC 0.18 ¿m CMOS mixed technology, a evolvement AGC amplifier is designed and tapeouted successfully which has 30 MHz operation frequency, 40 dB ~70 dB gain adjustment range. When output power is elevated maximal values, the AGC has -65 dBm 1 dB compression point, -56 dBm IP3. The circuits can be optimized using the core module of Genetic Algorithms or recover from failure. The results testing the chip and the module show that performance of AGC amplifier conforms to excellent features expected after about 40 generations.
  • Keywords
    CMOS integrated circuits; analogue integrated circuits; genetic algorithms; mixed analogue-digital integrated circuits; CMOS mixed technology; SMIC; evolvement analog IC; genetic algorithms; interface module; operation frequency; Algorithm design and analysis; Analog integrated circuits; CMOS technology; Filters; Frequency; Genetic algorithms; Operational amplifiers; Performance gain; Power amplifiers; Power generation; 1dB compression point; AGC amplifier; IP3; evolvement analog IC; genetic algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State and Integrated-Circuit Technology, 2008. ICSICT 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2185-5
  • Electronic_ISBN
    978-1-4244-2186-2
  • Type

    conf

  • DOI
    10.1109/ICSICT.2008.4734905
  • Filename
    4734905