A linear inverse space mapping (LISM) algorithm to design linear and nonlinear RF and microwave circuits

Rayas-Sánchez, José E.Lara-Rojo, FernandoMartínez-Guerrero, Esteban2013-05-202013-05-202005-03J.E. Rayas-Sánchez, F. Lara-Rojo and E. Martínez-Guerrero, “A linear inverse space mapping (LISM) algorithm to design linear and nonlinear RF and microwave circuits,” IEEE Trans. Microwave Theory Tech., vol. 53, pp. 960-968, Mar. 2005.0018-9480http://hdl.handle.net/11117/583http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1406292A 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.enghttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdfAlgorithm Design and AnalysisDesign OptimizationMicrostripMicrowave CircuitsNeural NetworksOptimization MethodsPiecewise Linear TechniquesRadio FrequencySamariumTime Domain AnalysisA linear inverse space mapping (LISM) algorithm to design linear and nonlinear RF and microwave circuitsinfo:eu-repo/semantics/articleIEEE