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

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1 Author(s)
Green, R.A. ; Dept. of Electr. Eng., North Dakota State Univ., Fargo, ND, USA

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

Published in:

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on  (Volume:3 )

Date of Conference:

15-19 Mar 1999

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