Nonlinear systems constituted by a zero-memory nonlinearity cascaded with linear filters can be identified by input-output cross correlation using a Gaussian input signal. The method is extended to complex systems through a pair of complex invariance theorems. The stated properties allow identifying the linear parts of systems characterized by magnitude/phase nonlinearities with the joint use of second- and third-order input-output moments. The method can be employed for a wide class of communication bandpass circuits when signals are represented by complex envelopes
Giunta, G., Jacovitti, G., Neri, A. (1991). Bandpass nonlinear systems identification by higher order cross correlation. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 39(issue 9), 2092-2095 [10.1109/78.134443].
Bandpass nonlinear systems identification by higher order cross correlation
GIUNTA, GAETANO;NERI, Alessandro
1991-01-01
Abstract
Nonlinear systems constituted by a zero-memory nonlinearity cascaded with linear filters can be identified by input-output cross correlation using a Gaussian input signal. The method is extended to complex systems through a pair of complex invariance theorems. The stated properties allow identifying the linear parts of systems characterized by magnitude/phase nonlinearities with the joint use of second- and third-order input-output moments. The method can be employed for a wide class of communication bandpass circuits when signals are represented by complex envelopesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
