Title :
An elitist distributed particle swarm algorithm for RFIC optimization
Author :
Chu, Min ; Allstot, David J.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
An RF IC optimization methodology based on an elitist distributed particle swarm optimization algorithm is presented. By including a Pareto ranking mechanism and elitism in the algorithm, design alternatives and tradeoff information are provided with high efficiency. Post-optimization Monte-Carlo simulations are performed to assess first-order yield performance and aid in the selection of the final design. The approach is validated through the synthesis of a 5.2GHz direct-conversion front-end in 180nm CMOS.
Keywords :
CMOS integrated circuits; MMIC; Monte Carlo methods; circuit optimisation; integrated circuit yield; microwave receivers; 180 nm; 5.2 GHz; Monte-Carlo simulations; Pareto ranking mechanism; RFIC optimization; design alternatives; direct-conversion front-end receiver; elitist distributed particle swarm algorithm; low-noise amplifier; noise figure; non-dominated sorting; second-order intermodulation; tradeoff information; yield performance; Algorithm design and analysis; Circuit simulation; Design optimization; Driver circuits; Engines; Optimization methods; Packaging; Particle swarm optimization; Radio frequency; Radiofrequency integrated circuits;
Conference_Titel :
Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific
Print_ISBN :
0-7803-8736-8
DOI :
10.1109/ASPDAC.2005.1466417
