A Low-Complexity I/Q Imbalance Calibration Method for Quadrature Modulator
- Authors
- Kim, Jusung; Jo, Han-Shin; Lee, Kyoung-Jae; Lee, Dong-Ho; Choi, Dae-Hyun; Kim, Sangkil
- Issue Date
- Apr-2019
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Calibration; image rejection; quadrature mismatch; quadrature modulation; residual sideband (RSB); single sideband; transmitter
- Citation
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems, v.27, no.4, pp.974 - 977
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Volume
- 27
- Number
- 4
- Start Page
- 974
- End Page
- 977
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192144
- DOI
- 10.1109/TVLSI.2018.2883758
- ISSN
- 1063-8210
- Abstract
- This brief presents a low-complexity I/Q (in-phase and quadrature components) imbalance calibration method for the transmitter using quadrature modulation. Impairments in analog quadrature modulator have a deleterious effect on the signal fidelity. Among the critical impairments, I/Q imbalance (gain and phase mismatches) deteriorates the residual sideband performance of the analog quadrature modulator degrading the error vector magnitude. Based on the theoretical mismatch analysis of the quadrature modulator, we propose a low-complexity I/Q imbalance extraction algorithm. After the parameter extraction, the transmitter is calibrated by imposing the counter imbalanced mismatch of the transmitter through the digital baseband. In comparison with existing I/Q imbalance calibration methods, the novelty of the proposed method lies in that: 1) only three spectrum measurements of the device-under-test are needed for extraction and calibration of gain and phase mismatches; 2) due to the blind nature of the calibration algorithm, the proposed approach can be readily applicable to an existing I/Q transmitter; 3) no extra hardware that degrades the calibration accuracy is required; and 4) due to the noniterative nature, the proposed method is faster and computationally more efficient than previously published methods.
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