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.engAlgorithm 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