Carrera-Retana, Luis ErnestoLuis ErnestoCarrera-RetanaMarin-Sanchez, MarioMarioMarin-SanchezSchuster, ChristianChristianSchusterRimolo-Donadio, RenatoRenatoRimolo-Donadio2022-02-212022-02-212022-02-01IEEE Transactions on Microwave Theory and Techniques 70 (2): 1037-1047 (2022-02-01)http://hdl.handle.net/11420/11732The Loewner matrix (LM) is a powerful macromodeling technique that uses sampled data in the frequency domain for representing dynamical systems in a descriptor form. As stability cannot be enforced during the construction process, a postprocessing step is required to ensure a stable macromodel, which reduces its accuracy. In this article, two techniques are incorporated and evaluated with the LM framework in this postprocessing phase. The first one is an efficient sign-pole-flipping technique for stability enforcement. The other one is a matrix updating technique applied after the stability enforcement of the model. The proposed approaches are evaluated using data in the scattering parameter form for printed circuit board via interconnects examples and an electromagnetic shielding structure and compared to the state-of-the-art stability enforcement algorithms. For completeness, we will also compare the results with respect to the macromodels created by the vector fitting algorithm. It was found that by the proposed flipping and matrix updating approaches, an error reduction by a factor between 2 and 20 was achieved with respect to the previously reported methods.en0018-94802022210371047IEEECircuit stabilityDescriptor systemsEigenvalues and eigenfunctionsFrequency-domain analysisLoewner matrix (LM)macromodelingMatrix decompositionpassive macromodelsStability criteriastability enforcement.Transfer functionsTransmission line matrix methodsTechnikJournal Article10.1109/TMTT.2021.3136234Other