Nano Science and Technology Institute - NSTI  
Nano Science and Technology Institute   Home | Subscribe | Site Map  
  ABOUT | COURSES | EVENTS | PUBLICATIONS | LEADERSHIP | OUTREACH | NEWS | PRESS | JOBS | Nanotechnology Solutions
px
px fade_top
Publications
Nanotech 2008 CDROM
Nanotech 2007 CDROM
Nanotech 2006 CDROM
Nanotech 2005 CDROM
Nanotech 2004 CDROM
3 CDROM Special Offer
Nanotech 2008 Vol. 1
Nanotech 2008 Vol. 2
Nanotech 2008 Vol. 3
Nanotech 2007 Vol. 1
Nanotech 2007 Vol. 2
Nanotech 2007 Vol. 3
Nanotech 2007 Vol. 4
Nanotech 2006 Vol. 1
Nanotech 2006 Vol. 2
Nanotech 2006 Vol. 3
Nanotech 2005 Vol. 1
Nanotech 2005 Vol. 2
Nanotech 2005 Vol. 3
WCM 2005
Nanotech 2004 Vol. 1
Nanotech 2004 Vol. 2
Nanotech 2004 Vol. 3
Nanotech 2003 Vol. 1
Nanotech 2003 Vol. 2
Nanotech 2003 Vol. 3
Nanotech 2002 Vol. 1
Nanotech 2002 Vol. 2
Nanotech 2001 Vol. 1
Nanotech 2001 Vol. 2
MSM 2000
MSM 99
MSM 98
Index of Authors
Index of Keywords
Index of Affiliations
Library Request Form
Shopping Cart
Order Form
 
Publications Publications
Nanotech 2007 Vol. 3
p
 
Technical Proceedings of the 2007 NSTI Nanotechnology Conference and Trade Show, Volume 3
Nanotech 2007 Vol. 3
Technical Proceedings of the 2007 NSTI Nanotechnology Conference and Trade Show, Volume 3
 
Chapter 3: Sensors & MEMS
 

A Simulation-Based Hybrid Optimization Technique for Low Noise Amplifier Integrated Circuit Design Automation

Authors:Y. Li and S-M Yu
Affilation:National Chaio Tung University, TW
Pages:181 - 184
Keywords:simulation-based optimization, hybrid optimization technique, circuit design automation, low noise amplifier, numerical method, evolutionary algorithm
Abstract:In this paper we propose an intelligent simulation-based optimization technique for designing low noise amplifier (LNA) integrated circuits (ICs). Based on a genetic algorithm (GA), the Levenberg–Marquardt (LM) method, and a circuit simulator, the hybrid optimization methodology is developed for automatic design of LNA ICs. For a given LNA circuit, the hybrid optimization methodology simultaneously considers the electrical specification such as S11, S12, S21, S22, K factor, the noise figure, and the input third-order intercept point in the optimization process. First of all, the necessary parameters of the LNA IC for circuit simulation are loaded. A circuit simulator will then be performed for the circuit simulation and specification evaluation. Once the specification meets the aforementioned seven constraints, we output the optimized parameters. Otherwise, we activate the GA for the global optimization; in the meanwhile, the LM method searches the local optima according to the results of the GA. We then call circuit simulator to compute and evaluate newer results until the specification is matched. Along with the proposed methodology, a corresponding prototype of the electronic computer-aided design is successfully implemented and used for optimal design of LNA ICs. Organizing some testing experiments, more than fifteen parameters of the LNA IC including device sizes, capacitance, inductance, resistance, and biasing conditions are optimized with respect to the aforementioned seven constraints. The design of LNA circuit is with 0.18 um metal-oxide-silicon filed effect transistors. Benchmark results also computationally confirm the robustness and efficiency of the proposed intelligent simulation-based optimization technique. This approach in general can be applied to optimal design of other analog and radio frequency circuits. We believe that this hybrid optimization methodology will benefit advanced designs of wireless communication system-on-a-chip.
ISBN:1-4200-6184-4
Pages:732
Hardcopy:$199.99
 
Order:Mail/Fax Form
Special:3 CD Set — 15% off with Free Shipping
Up
nanoPRwire™
nanoPRwire
News Headlines
nano World news
 
 
 
 
px
© Nano Science and Technology Institute     About NSTI | Terms of Use | Privacy Policy | Contact