Internal calibration techniques for quadrature receiver mismatch errors
Signal Processing - Special section on content-based image and video retrieval
Experimental antenna array calibration with artificial neural networks
Signal Processing
Low-cost characterization and calibration of RF integrated circuits through I-Q data analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
| Hi-index | 35.68 |
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