A DSB-SC signal model for nonlinear regression-based quadrature receiver calibration

Advances have been made regarding quadrature receiver I/Q mismatch calibration. In particular, Green, Anderson-Sprecher and Pierre (see IEEE Transactions on Signal Processing, 1998) present a nonlinear regression (NLR)-based algorithm that utilizes a pure sinusoidal test signal for sensor calibration. This paper develops a double side-band suppressed carrier (DSB-SC) signal model for use with NLR-based calibration methods. The DSB-SC model not only provides a useful signal for calibration, it also demonstrates the model flexibility inherent to nonlinear regression techniques. Simulations illustrate the effectiveness of the DSB-SC signal model for the calibration of I/Q sensors.