Title :
Optimal RF IC design based on Fuzzy Genetic Algorithm
Author :
Wang, Xiaomu ; Zhou, Changjian ; Zhang, Zhaohua ; Ren, Tianling ; Liu, Litian
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
A novel fuzzy genetic algorithm based RF IC optimal design approach is proposed in this paper. RF design difficulty is alleviated because of genetic algorithm, which is capable of fast global searching. Fuzzy logic algorithm is introduced to solve problems in generating a proper cost function from multiple objectives. Key issues have been identified as logical normalization and dynamical combination. In this way, performance metric weights are adapted to uncertain and contradictory multiple objectives. The overall system and individual blocks are described and results on the optimization of LNA designs are presented.
Keywords :
fuzzy logic; genetic algorithms; low noise amplifiers; radiofrequency integrated circuits; LNA designs; fuzzy genetic algorithm; fuzzy logic algorithm; global searching; logical normalization; optimal RFIC design; optimization; Algorithm design and analysis; Analog integrated circuits; Circuit synthesis; Cost function; Design optimization; Fuzzy logic; Genetic algorithms; Measurement; Radio frequency; Radiofrequency integrated circuits;
Conference_Titel :
Microelectronics & Electronics, 2009. PrimeAsia 2009. Asia Pacific Conference on Postgraduate Research in
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4668-1
Electronic_ISBN :
978-1-4244-4669-8
DOI :
10.1109/PRIMEASIA.2009.5397406
