DocumentCode :
2356243
Title :
Reduced Complexity On-chip IQ-Imbalance Self-Calibration
Author :
Chunshu Li ; Min Li ; Pollin, Sofie ; Debaillie, Bjorn ; Verhelst, Marian ; Van der Perre, Liesbet ; Lauwereins, Rudy
Author_Institution :
IMEC, Leuven, Belgium
fYear :
2012
fDate :
17-19 Oct. 2012
Firstpage :
31
Lastpage :
36
Abstract :
The architectural simplicity of the direct-conversion scheme makes it an appealing architecture for low cost and low power transceivers. This architecture however demonstrates increased sensitivity to analog front-end impairments, such as gain and phase imbalance in the transceiver´s in-phase and quadrature (IQ) paths. Especially when used in flexible software-defined radios, very fast, but low cost IQ-imbalance estimation and correction methods are required, to cope with the dynamically varying IQ imbalance due to environmental effect and frequency shifts. The main goal of this paper is to present an on-chip, off-line, extremely fast and low complexity self-calibration of IQ imbalance and carrier feed through for both the transmitter and receiver. Custom-designed training symbols allow to reduce the computational complexity, such that the calibration method can be performed at any user defined instance in negligible time. The reported complexity analysis shows that the whole calibration process takes up less than 4000 processor cycles, or 16us, when running on an OPENRISC 1200 core.
Keywords :
radio transceivers; software radio; system-on-chip; IQ-imbalance estimation; OPENRISC 1200 core; analog front-end impairment; calibration method; carrier feed; custom-designed training symbol; direct-conversion scheme; environmental effect; frequency shift; gain imbalance; inphase-and-quadrature path; low cost transceiver; low power transceiver; on-chip IQ-imbalance self-calibration; phase imbalance; software-defined radio; Calibration; Computational complexity; Couplings; Estimation; System-on-a-chip; Training; Direct-conversion; IQ Imbalance; Low Complexity; Onchip; Self-calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (SiPS), 2012 IEEE Workshop on
Conference_Location :
Quebec City, QC
ISSN :
2162-3562
Print_ISBN :
978-1-4673-2986-6
Type :
conf
DOI :
10.1109/SiPS.2012.39
Filename :
6363180
Link To Document :
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