Modeling band-pass sampling receivers nonlinear behavior in different Nyquist zones

This paper presents a comprehensive behavioral model of a band-pass sampling receiver working throughout its input bandwidth. The key component of such architecture is the analog-to-digital converter, ADC, in which its input spectrum is normally divided in different Nyquist zones. Such a topology is appointed to be part of future demanding radio receivers for cognitive radio applications and spectrum sensing. An efficient model parameter extraction procedure will be addressed in order to obtain the required parameters for the proposed model when in presence of a huge amount of noise. Furthermore, the presented behavioral model will be validated using real modulated signal excitations applied in different Nyquist zones of the used band-pass sampling receiver.