Quadrature receiver mismatch calibration

Author

Green, Roger A. ; Anderson-Sprecher, Richard ; Pierre, John W.

Author_Institution

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

Volume

47

Issue

11

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

3130

Lastpage

3133

Abstract

This article introduces nonlinear regression techniques to estimate gain and phase mismatches between the in-phase (I) and quadrature (Q) branches of a quadrature receiver. Under modest assumptions, the system intrinsically follows a nonlinear regression model. The algorithm is effective, easily implemented, customizable, and requires few assumptions. Large-sample, jackknife, and bootstrap techniques provide on-line error assessment and parameter inference

Keywords

array signal processing; calibration; maximum likelihood estimation; nonlinear estimation; phase estimation; receivers; signal sampling; statistical analysis; algorithm; bootstrap technique; gain mismatch estimation; in-phase branch; jackknife technique; large-sample technique; maximum likelihood estimators; nonlinear regression model; nonlinear regression techniques; on-line error assessment; parameter inference; phase mismatch estimation; quadrature branch; quadrature receiver mismatch calibration; sensor array processing; Additive noise; Calibration; Mutual coupling; Phase estimation; Phased arrays; Sensor arrays; Sensor systems; Signal to noise ratio; Standards development; Testing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.796447

Filename

796447