Blind Compensation of I/Q Impairments in Wireless Transceivers
Abstract
:1. Introduction
2. Model Formulation and Mitigation Methodology
2.1. I/Q Impairment Model Formulation
2.2. Closed-form PDF of the Imbalanced Signal
2.3. Accuracy of Derived PDF
2.4. Parameter Estimation
3. Simulation Results
3.1. Normalized Mean Squared Error and Image Suppression Evaluation
3.2. BER Performance in the Presence of Multi-Path Channel
3.2.1. Parameter Estimation under Known Channel
3.2.2. Parameter Estimation under Unknown Channel
3.3. Constellation Plots
4. Discussion
5. Experimental Results
6. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
Appendix A
Appendix B
Appendix C
References
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Signal | ||||
---|---|---|---|---|
WCDMA 1111 | 1.146 × 10−1 | 2.2 × 10−3 | 2.38 × 10−2 | 4.75 × 10−4 |
LTE 101 | 1.368 × 10−1 | 2 × 10−3 | 2.8 × 10−2 | 4.97 × 10−4 |
Signal | Image Suppression before Compensation (dB) | Image Suppression after Compensation (dB) |
---|---|---|
S1 (WCDMA 1101 with fc around 10 MHz) | −16.2 | −28.7 |
S2 (WCDMA 1101 with fc around 5 MHz) | −15.5 | −28.7 |
S3 (WCDMA 1101 with fc around DC) | −15.4 | −28.8 |
0.0588 | 0.0135 | |
0.0162 | 0.0042 | |
0.0039 | 9.59 × 10−4 |
EVM Uncompensated Signal | EVM (This Work) | EVM [15] | EVM (No imb.) | EVM (Sim.) | NMSE (dB) Uncompensated Signal | NMSE (This Work) | NMSE [15] | NMSE (No imb.) | NMSE (Sim.) |
---|---|---|---|---|---|---|---|---|---|
7.1651 | 0.7809 | 0.986 | 0.59 | 0.6162 | −22.89 | −41.77 | −39.87 | −43.96 | −41.87 |
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Aziz, M.; Ghannouchi, F.M.; Helaoui, M. Blind Compensation of I/Q Impairments in Wireless Transceivers. Sensors 2017, 17, 2948. https://doi.org/10.3390/s17122948
Aziz M, Ghannouchi FM, Helaoui M. Blind Compensation of I/Q Impairments in Wireless Transceivers. Sensors. 2017; 17(12):2948. https://doi.org/10.3390/s17122948
Chicago/Turabian StyleAziz, Mohsin, Fadhel M. Ghannouchi, and Mohamed Helaoui. 2017. "Blind Compensation of I/Q Impairments in Wireless Transceivers" Sensors 17, no. 12: 2948. https://doi.org/10.3390/s17122948