Designing band-pass multisine excitations for microwave behavioral model identification

This work deals with the design of band-pass multisine excitations appropriate for microwave nonlinear model extraction and validation. Several examples show that the probability with which each instantaneous amplitude value is reached plays a determinant role on the response of a memoryless nonlinear system. Moreover, further tests made with nonlinear dynamic systems have shown that even the signal probability density function is insufficient, and one needs to know the signal´s waveform, or the complete multisine amplitude and phase distribution.