Title :
A linear inverse space-mapping (LISM) algorithm to design linear and nonlinear RF and microwave circuits
Author :
Rayas-Sánchez, José Ernesto ; Lara-Rojo, Fernando ; Martínez-Guerrero, Esteban
Author_Institution :
Dept. of Electron., Inst. Tecnologico y de Estudios Superiores de Occidente, Jalisco, Mexico
fDate :
3/1/2005 12:00:00 AM
Abstract :
A linear inverse space-mapping (LISM) optimization algorithm for designing linear and nonlinear RF and microwave circuits is described in this paper. LISM is directly applicable to microwave circuits in the frequency- or time-domain transient state. The inverse space mapping (SM) used follows a piecewise linear formulation, avoiding the use of neural networks. A rigorous comparison between Broyden-based "direct" SM, neural inverse space mapping (NISM) and LISM is realized. LISM optimization outperforms the other two methods, and represents a significant simplification over NISM optimization. LISM is applied to several linear frequency-domain classical microstrip problems. The physical design of a set of CMOS inverters driving an electrically long microstrip line on FR4 illustrates LISM for nonlinear design.
Keywords :
CMOS integrated circuits; circuit optimisation; frequency-domain analysis; integrated circuit design; linear network synthesis; microstrip lines; microwave circuits; nonlinear network synthesis; piecewise linear techniques; time-domain analysis; Broyden based direct space mapping algorithm; CMOS inverters; frequency domain transient state; linear RF circuit design; linear inverse space mapping algorithm; microstrip lines; microstrip problems; microwave circuit design; neural inverse space mapping algorithm; nonlinear RF circuit design; optimization algorithm; piecewise linear techniques; time domain transient state; Algorithm design and analysis; Design optimization; Microstrip; Microwave circuits; Neural networks; Optimization methods; Piecewise linear techniques; Radio frequency; Samarium; Time domain analysis; Aggressive space mapping (ASM); Broyden; RF and microwave design; computer-aided design (CAD); high-speed digital design; interpolating neural networks; inverse space mapping (SM); neural models; nonlinear transient design; optimizing expensive functions; surrogate models;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
DOI :
10.1109/TMTT.2004.842482
