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
- Keywords
- Calibration; image rejection; quadrature mismatch; quadrature modulation; residual sideband (RSB); single sideband; transmitter
- Citation
- 2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), v.27, no.4, pp 974 - 977
- Pages
- 4
- Journal Title
- 2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
- Volume
- 27
- Number
- 4
- Start Page
- 974
- End Page
- 977
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51339
- DOI
- 10.1109/tvlsi.2018.2883758
- ISSN
- 0271-4302
1557-9999
- 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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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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