Robust macromodeling of frequency responses with outliers

This paper introduces a robust Vector Fitting algorithm for macromodeling of measured of simulated frequency responses with outliers. The use of a new frequency-dependent weighting scheme ensures that the complex fitting error is minimized in the L₁ sense, rather than the L₂ sense. Numerical results indicate that this approach leads to more accurate results.