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Joint Estimation and Compensation of TX and RX IQ Imbalance for Direct-Conversion Transceiver

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Abstract

For direct-conversion transceiver, IQ imbalance is significant at both transmitter (TX) and receiver (RX), which brings in image interference and degrades the transmission quality. In order to handle this problem, the maximum-likelihood algorithm is employed to jointly estimate TX and RX IQ imbalance, and the corresponding Cramer–Rao lower bounds (CRLBs) are calculated. Furthermore, a compensation mechanism is proposed to combat IQ imbalance, which is derived from the criterion of maximum signal-to-interference-plus-noise ratio (MSINR). In addition, comprehensive simulations indicate that the mean square errors of the proposed estimation coincide with the CRLBs. Also, the proposed MSINR compensation achieves competitive performance, in terms of both SINR and bit error rate.

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References

  1. Debaillie, B., Van Wesemael, P., Vandersteen, G., & Craninckx, J. (2009). Calibration of direct-conversion transceivers. IEEE Journal of Selected Topics in Signal Processing, 3(3), 488–498.

    Article  Google Scholar 

  2. Lim, K., Min, S., Lee, S., Park, J., Kang, K., Shin, H., et al. (2011). A 2\(\times \)2 MIMO tri-band dual-mode direct-conversion CMOS transceiver for worldwide WiMAX/WLAN applications. IEEE Journal of Solid-State Circuits, 46(7), 1648–1658.

    Article  Google Scholar 

  3. Okada, K., Li, N., Matsushita, K., Bunsen, K., Murakami, R., Musa, A., et al. (2011). A 60-GHz 16QAM/8PSK/QPSK/BPSK direct-conversion transceiver for IEEE802. 15.3 c. IEEE Journal of Solid-State Circuits, 46(12), 2988–3004.

    Article  Google Scholar 

  4. Abe, T., Yuan, Y., Ishikuro, H., & Kuroda, T. (2012). A 2Gb/s 150mW UWB direct-conversion coherent transceiver with IQ-switching carrier recovery scheme. In Proceedings of IEEE International Solid-State Circuits Conference (pp. 442–444).

  5. de A Melo, A. C. R., & de Souza, R. E. (2012). FPGA-based digital direct-conversion transceiver for Nuclear Magnetic Resonance Systems. In Proceedings of IEEE Symposium on Integrated Circuits and Systems Design (pp. 1–5).

  6. Mirabbasi, S., & Martin, K. (2000). Classical and modern receiver architectures. IEEE Communications Magazine, 38(11), 132–139.

    Article  Google Scholar 

  7. Liu, C. H. (2009). Performance analysis of two-sided IQ imbalance effects in OFDM systems. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (pp. 938–942).

  8. Li, C., Li, M., Pollin, S., Debaillie, B., Verhelst, M., Van Der Perre, L., et al. (2012). Reduced complexity in-chip IQ-imbalance self-calibration. In Proceedings of IEEE Workshop on Signal Processing Systems (pp. 31–36).

  9. Horlin, F., De Rore, S., Lopez-Estraviz, E., Naessens, F., & Van der Perre, L. (2006). Impact of frequency offsets and IQ imbalance on MC-CDMA reception based on channel tracking. IEEE Journal on Selected Areas in Communications, 24(6), 1179–1188.

    Article  Google Scholar 

  10. Maham, B., Tirkkonen, O., & Hjorungnes, A. (2012). Impact of transceiver I/Q imbalance on transmit diversity of beamforming OFDM systems. IEEE Transactions on Communications, 60(3), 643–648.

    Article  Google Scholar 

  11. Semiari, O., Maham, B., & Yuen, C. (2012). Effect of I/Q imbalance on blind spectrum sensing for OFDMA overlay cognitive radio. In Proceedings of IEEE International Conference on Communications in China (pp. 433–437).

  12. Valkama, M., Renfors, M., & Koivunen, V. (2005). Blind signal estimation in conjugate signal models with application to I/Q imbalance compensation. IEEE Signal Processing Letters, 12(11), 733–736.

    Article  Google Scholar 

  13. Anttila, L., Valkama, M., & Renfors, M. (2006). Blind moment estimation techniques for I/Q imbalance compensation in quadrature receivers. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (pp. 1–5).

  14. Horlin, F., Bourdoux, A., & Van der Perre, L. (2008). Low-complexity EM-based joint acquisition of the carrier frequency offset and IQ imbalance. IEEE Transactions on Wireless Communications, 7(6), 2212–2220.

    Article  Google Scholar 

  15. Nam, W., Roh, H., Lee, J., & Kang, I. (2012). Blind adaptive I/Q imbalance compensation algorithms for direct-conversion receivers. IEEE Signal Processing Letters, 19(8), 475–478.

    Article  Google Scholar 

  16. Zhang, C., Xiao, Z., Gao, B., Su, L., & Jin, D. (2013). Receiver IQ imbalance estimation via pure noise for 60 GHz systems. Wireless Personal Communications,. doi:10.1007/s11277-013-1397-0.

  17. Kay, S. M. (1993). Fundamentals of statistical signal processing: Estimation theory. Upper Saddle River, NJ: Prentice-Hall.

    MATH  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the National Natural Science Foundation of China (NSFC) under Grant Nos. 61201189 and 61132002, National High Tech (863) Projects under Grant No. 2011AA010202, Research Fund of Tsinghua University under Nos. 2011Z05117 and 20121087985, and Shenzhen Strategic Emerging Industry Development Special Funds under No. CXZZ20120616141708264.

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Authors and Affiliations

  1. State Key Laboratory on Microwave and Digital Communications Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China

    Changming Zhang, Li Su & Depeng Jin

  2. School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China

    Zhenyu Xiao

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  1. Changming Zhang
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Correspondence to Zhenyu Xiao.

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Zhang, C., Xiao, Z., Su, L. et al. Joint Estimation and Compensation of TX and RX IQ Imbalance for Direct-Conversion Transceiver. Wireless Pers Commun 83, 779–790 (2015). https://doi.org/10.1007/s11277-015-2424-0

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  • DOI: https://doi.org/10.1007/s11277-015-2424-0

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