Quadrature receiver mismatch calibration

Quadrature receiver mismatch calibration

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 imp...

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Veröffentlicht in:IEEE transactions on signal processing 1999-11, Vol.47 (11), p.3130-3133
Hauptverfasser: Green, R.A., Anderson-Sprecher, R., Pierre, J.W.
Format: Artikel
Sprache:eng
Schlagworte:
Additive noise
Applied sciences
Assessments
Calibration
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Gain
Information, signal and communications theory
Mutual coupling
Nonlinearity
On-line systems
Phase estimation
Phased arrays
Quadratures
Receivers
Regression
Sensor arrays
Sensor systems
Signal and communications theory
Signal to noise ratio
Signal, noise
Standards development
Telecommunications and information theory
Testing
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Beschreibung
Zusammenfassung: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.
ISSN:1053-587X
1941-0476
DOI:10.1109/78.796447