Title :
A DSB-SC signal model for nonlinear regression-based quadrature receiver calibration
Author_Institution :
Dept. of Electr. Eng., North Dakota State Univ., Fargo, ND, USA
Abstract :
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
Keywords :
calibration; receivers; statistical analysis; DSB-SC signal model; I/Q mismatch calibration; I/Q sensors; double side-band suppressed carrier; nonlinear regression based algorithm; quadrature receiver calibration; sensor calibration; simulations; sinusoidal test signal; Additive noise; Calibration; Displays; Linear regression; Neodymium; Phase detection; Predictive models; Signal design; Testing; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756236
