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
Link To Document :
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