Dergiler / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2022 / Cilt: 64 - Sayı: 2

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

Sayfa
66–80
Yayın Tarihi
2022-12-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Experimental results demonstrate that wireless transmission success rate for the zero-IF receiver is increased by compensating I/Q imbalance.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Quadrature mixing is widely used in wireless communication receivers since it provides a solution for image signal problem with low-cost implementations.
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Temel Bulgular & Veri:This problem is known as I/Q imbalance and degrades the communication performance if not compensated.
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Sonuç & Katkı:Experimental results demonstrate that wireless transmission success rate for the zero-IF receiver is increased by compensating I/Q imbalance.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Zero-IF receiver · image signal problem · I/Q imbalance compensation

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.

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Bu Makaleye Atıf Yap

SAĞIR, G. E., TAŞCIOĞLU, 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, Cilt: 64 - Sayı: 2, 66–80. https://ajindex.com/articles/858377

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Kaynakça (13)

  1. Lyons, R. G., Understanding Digital Signal Processing, Prentice Hall, 2011.
  2. 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.
  3. 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.
  4. Windisch, M., Estimation and Compensation of IQ Imbalance in Broadband Communications Receivers. Jörg Vogt Verlag, Germany, 2007.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Valkama, M., Advanced I/Q Signal Processing for Wideband Receivers: Models and Algorithms, Ph.D. Dissertation, Tampere University of Technology, Finland, 2001.
  10. 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.
  11. 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.
  12. 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.
  13. Valkama, M., Renfors, M., Advanced DSP for I/Q imbalance compensation in a low-IF receiver, 2000 IEEE International Confere