Research Article
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Evaluation of the impact of I/Q imbalance compensation on communication performance

Year 2022, Volume: 64 Issue: 2, 66 - 80, 30.12.2022
https://doi.org/10.33769/aupse.1079709

Abstract

Quadrature mixing is widely used in wireless communication receivers since it provides a solution for image signal problem with low-cost implementations. Image signal is caused by phase and amplitude mismatches between in-phase (I) and quadrature (Q) paths of the receiver. This problem is known as I/Q imbalance and degrades the communication performance if not compensated. In this study, the impact of I/Q imbalance compensation on wireless communication performance is evaluated through experiments and simulations. Simulation results demonstrate that significant communication performance improvement can be achieved in terms of bit error rate (BER) and symbol error rate (SER) by compensating the I/Q imbalance properly. In the experiments, compensation is applied to the signals captured using a software defined radio with zero-IF architecture. Experimental results demonstrate that wireless transmission success rate for the zero-IF receiver is increased by compensating I/Q imbalance.

Supporting Institution

TÜBİTAK

Project Number

119E598

Thanks

This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 119E598.

References

  • Lyons, R. G., Understanding Digital Signal Processing, Prentice Hall, 2011.
  • Windisch, M., Fettweis, G., Blind I/Q imbalance parameter estimation and compensation in low-IF receivers, First International Symposium on Control, Communication and Signal Processing, (2004), 75-78, https://doi.org/10.1109/ISCCSP.2004.1296222.
  • Windisch, M., Fettweis, G., On the performance of standard-independent I/Q imbalance compensation in OFDM direct-conversion receivers, 13th European Signal Processing Conference, (2005), 1-5.
  • Windisch, M., Estimation and Compensation of IQ Imbalance in Broadband Communications Receivers. Jörg Vogt Verlag, Germany, 2007.
  • Held, I., Klein, O., Chen, A., Ma, V., Low complexity digital IQ imbalance correction in OFDM WLAN receivers, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004- Spring (IEEE Cat. No.04CH37514), 2 (2004), 1172-1176, https://doi.org/10.1109/VETECS.2004.1389017.
  • Gomaa, A., Jalloul, L. M. A., Data-aided I/Q imbalance estimation and compensation in OFDM systems, IEEE Commun. Lett., 18 (3) (2014), 459-462, https://doi.org/10.1109/LCOMM.2014.012014.132321.
  • Hakkarainen, A., I/Q Imbalance in Multiantenna Systems: Modeling, Analysis and RF-Aware Digital Beamforming, Ph.D. Dissertation, Tampere University of Technology, Finland, 1447, 2017.
  • Anttila, L., Valkama, M., Renfors, M., Blind compensation of frequency-selective I/Q imbalances in quadrature radio receivers: circularity-based approach, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing – ICASSP '07, (2007), 245-248, https://doi.org/10.1109/ICASSP.2007.366518.
  • Valkama, M., Advanced I/Q Signal Processing for Wideband Receivers: Models and Algorithms, Ph.D. Dissertation, Tampere University of Technology, Finland, 2001.
  • Valkama, M., Renfors, M., Koivunen, V., Advanced methods for I/Q imbalance compensation in communication receivers, IEEE Trans. Signal Process., 49 (10) (2001), 2335-2344, https://doi.org/10.1109/78.950789.
  • Nam, W., Roh, H., Lee, J., Kang, I., Blind adaptive I/Q imbalance compensation algorithms for direct-conversion receivers, IEEE Signal Process. Lett., 19 (8) (2012), 475-478, https://doi.org/10.1109/LSP.2012.2202902.
  • Xu, Z., Cheng, Y.B., Ren, S.J., Estimation and compensation of I/Q imbalance in millimeter-wave OFDM UWB system, J. Comput., 28 (4) (2017), 179-188, https://doi.org/10.3966/199115592017082804019.
  • Valkama, M., Renfors, M., Advanced DSP for I/Q imbalance compensation in a low-IF receiver, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record, 2 (2000), 768-772, https://doi.org/10.1109/ICC.2000.853603.
  • Adali, T., Schreier, P. J., Scharf, L. L., Complex-valued signal processing: the proper way to deal with impropriety, IEEE Trans. Signal Process., 59 (11) (2011), 5101-5125, https://doi.org/10.1109/TSP.2011.2162954.
  • Anttila, L., Valkama, M., Renfors M., Circularity-based I/Q imbalance compensation in wideband direct-conversion receivers, IEEE Trans. Veh. Technol., 57 (4) (2008), 2099-2113, https://doi.org/10.1109/TVT.2007.909269.
  • Petrovic, M., Milic, M., Milenkovic, S., Optimal parameters of the IQ imbalance correction algorithm based on adaptive filter, Proceedings of 4th International Conference on Electrical, Electronics and Computing Engineering IcETRAN 2017, (2017), 1-5.
  • MathWorks, https://www.mathworks.com/help//supportpkg/plutoradio/ug/transmission-and-reception-of-an-image-using-wlan-system-toolbox-and-a-single-pluto-radio.html,2022.
Year 2022, Volume: 64 Issue: 2, 66 - 80, 30.12.2022
https://doi.org/10.33769/aupse.1079709

Abstract

Project Number

119E598

References

  • Lyons, R. G., Understanding Digital Signal Processing, Prentice Hall, 2011.
  • Windisch, M., Fettweis, G., Blind I/Q imbalance parameter estimation and compensation in low-IF receivers, First International Symposium on Control, Communication and Signal Processing, (2004), 75-78, https://doi.org/10.1109/ISCCSP.2004.1296222.
  • Windisch, M., Fettweis, G., On the performance of standard-independent I/Q imbalance compensation in OFDM direct-conversion receivers, 13th European Signal Processing Conference, (2005), 1-5.
  • Windisch, M., Estimation and Compensation of IQ Imbalance in Broadband Communications Receivers. Jörg Vogt Verlag, Germany, 2007.
  • Held, I., Klein, O., Chen, A., Ma, V., Low complexity digital IQ imbalance correction in OFDM WLAN receivers, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004- Spring (IEEE Cat. No.04CH37514), 2 (2004), 1172-1176, https://doi.org/10.1109/VETECS.2004.1389017.
  • Gomaa, A., Jalloul, L. M. A., Data-aided I/Q imbalance estimation and compensation in OFDM systems, IEEE Commun. Lett., 18 (3) (2014), 459-462, https://doi.org/10.1109/LCOMM.2014.012014.132321.
  • Hakkarainen, A., I/Q Imbalance in Multiantenna Systems: Modeling, Analysis and RF-Aware Digital Beamforming, Ph.D. Dissertation, Tampere University of Technology, Finland, 1447, 2017.
  • Anttila, L., Valkama, M., Renfors, M., Blind compensation of frequency-selective I/Q imbalances in quadrature radio receivers: circularity-based approach, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing – ICASSP '07, (2007), 245-248, https://doi.org/10.1109/ICASSP.2007.366518.
  • Valkama, M., Advanced I/Q Signal Processing for Wideband Receivers: Models and Algorithms, Ph.D. Dissertation, Tampere University of Technology, Finland, 2001.
  • Valkama, M., Renfors, M., Koivunen, V., Advanced methods for I/Q imbalance compensation in communication receivers, IEEE Trans. Signal Process., 49 (10) (2001), 2335-2344, https://doi.org/10.1109/78.950789.
  • Nam, W., Roh, H., Lee, J., Kang, I., Blind adaptive I/Q imbalance compensation algorithms for direct-conversion receivers, IEEE Signal Process. Lett., 19 (8) (2012), 475-478, https://doi.org/10.1109/LSP.2012.2202902.
  • Xu, Z., Cheng, Y.B., Ren, S.J., Estimation and compensation of I/Q imbalance in millimeter-wave OFDM UWB system, J. Comput., 28 (4) (2017), 179-188, https://doi.org/10.3966/199115592017082804019.
  • Valkama, M., Renfors, M., Advanced DSP for I/Q imbalance compensation in a low-IF receiver, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record, 2 (2000), 768-772, https://doi.org/10.1109/ICC.2000.853603.
  • Adali, T., Schreier, P. J., Scharf, L. L., Complex-valued signal processing: the proper way to deal with impropriety, IEEE Trans. Signal Process., 59 (11) (2011), 5101-5125, https://doi.org/10.1109/TSP.2011.2162954.
  • Anttila, L., Valkama, M., Renfors M., Circularity-based I/Q imbalance compensation in wideband direct-conversion receivers, IEEE Trans. Veh. Technol., 57 (4) (2008), 2099-2113, https://doi.org/10.1109/TVT.2007.909269.
  • Petrovic, M., Milic, M., Milenkovic, S., Optimal parameters of the IQ imbalance correction algorithm based on adaptive filter, Proceedings of 4th International Conference on Electrical, Electronics and Computing Engineering IcETRAN 2017, (2017), 1-5.
  • MathWorks, https://www.mathworks.com/help//supportpkg/plutoradio/ug/transmission-and-reception-of-an-image-using-wlan-system-toolbox-and-a-single-pluto-radio.html,2022.
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Gizem Eda Sağır 0000-0001-8977-8991

Selçuk Taşcıoğlu 0000-0001-9064-2960

Project Number 119E598
Publication Date December 30, 2022
Submission Date February 26, 2022
Acceptance Date April 4, 2022
Published in Issue Year 2022 Volume: 64 Issue: 2

Cite

APA Sağır, G. E., & Taşcıoğlu, S. (2022). Evaluation of the impact of I/Q imbalance compensation on communication performance. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 64(2), 66-80. https://doi.org/10.33769/aupse.1079709
AMA Sağır GE, Taşcıoğlu S. Evaluation of the impact of I/Q imbalance compensation on communication performance. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. December 2022;64(2):66-80. doi:10.33769/aupse.1079709
Chicago Sağır, Gizem Eda, and Selçuk Taşcıoğlu. “Evaluation of the Impact of I/Q Imbalance Compensation on Communication Performance”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 64, no. 2 (December 2022): 66-80. https://doi.org/10.33769/aupse.1079709.
EndNote Sağır GE, Taşcıoğlu S (December 1, 2022) Evaluation of the impact of I/Q imbalance compensation on communication performance. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 64 2 66–80.
IEEE G. E. Sağır and S. Taşcıoğlu, “Evaluation of the impact of I/Q imbalance compensation on communication performance”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 64, no. 2, pp. 66–80, 2022, doi: 10.33769/aupse.1079709.
ISNAD Sağır, Gizem Eda - Taşcıoğlu, Selçuk. “Evaluation of the Impact of I/Q Imbalance Compensation on Communication Performance”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 64/2 (December 2022), 66-80. https://doi.org/10.33769/aupse.1079709.
JAMA Sağır GE, Taşcıoğlu S. Evaluation of the impact of I/Q imbalance compensation on communication performance. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2022;64:66–80.
MLA Sağır, Gizem Eda and Selçuk Taşcıoğlu. “Evaluation of the Impact of I/Q Imbalance Compensation on Communication Performance”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 64, no. 2, 2022, pp. 66-80, doi:10.33769/aupse.1079709.
Vancouver Sağır GE, Taşcıoğlu S. Evaluation of the impact of I/Q imbalance compensation on communication performance. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2022;64(2):66-80.

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

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