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

Author

Green, Roger A.

Author_Institution

Dept. of Electr. Eng., North Dakota State Univ., Fargo, ND, USA

Volume

3

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1373

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.756236

Filename

756236