Abstract
In frequency division duplex transceivers, the non-ideal analog duplexer has only a limited stop-band attenuation, and therefore a part of the transmit signal leaks into the receive path. Although operating on a different frequency band, non-ideal effects in the receive path cause different kinds of self-interferences, which can have a higher power level than the actual wanted receive signal. A possible way to tackle this problem are adaptive filters. These approaches are mostly model based, and for each kind of interference a different algorithm is needed. Kernel adaptive filtering offers the possibility to deal with different sorts of interferences with the same algorithm. In this work, we investigate the capabilities of kernel adaptive filtering to cancel especially the second-order intermodulation distortion (IMD2) and the transmitter (Tx)-harmonics interference.
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References
Gebhard, A., Motz, C., Kanumalli, R.S., Pretl, H., Huemer, M.: Nonlinear least-mean-squares type algorithm for second-order interference cancellation in LTE-A RF transceivers. In: Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers (ACSSC 2017), pp. 802–807. Pacific Grove (2017)
Ericsson and ST-Ericsson: “R4-126964, REFSENS with one UL carrier for NC intra-band CA," Ericsson, Technical report, November 2012. https://www.3gpp.org/DynaReport/TDocExMtg-R4-65-29023.htm
Razavi, B.: Design considerations for direct-conversion receivers. IEEE Trans. Circ. Syst. II: Analog Digit. Sig. Proc. 44(6), 428–435 (1997)
Kiayani, A., Anttila, L., Valkama, M.: Modeling and dynamic cancellation of TX-RX leakage in FDD transceivers. In: 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS 2013), pp. 1089–1094, Columbus (2013)
Gebhard, A.: Self-interference cancellation and rejection in FDD RF-transceivers, Ph.D. dissertation, Johannes Kepler University Linz, Linz, Austria (2019)
Liu, W., Principe, J., Haykin, S.: Kernel Adaptive Filtering. Wiley, Hoboken (2010)
Kay, S.M.: Fundamentals of statistical signal processing. In: Oppenheim, A.V. (ed.) Prentice Hall, Upper Saddle River (1993)
Bouboulis, P., Theodoridis, S.: Extension of Wirtinger’s calculus to reproducing Kernel Hilbert spaces and the complex Kernel LMS. IEEE Trans. Signal Process. 59(3), 964–978 (2011)
Acknowledgment
The financial support by the Austrian Federal Ministry of Science, Research and Economy and the National Foundation for Research, Technology and Development is gratefully acknowledged.
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Auer, C. et al. (2020). Kernel Adaptive Filters: A Panacea for Self-interference Cancellation in Mobile Communication Transceivers?. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_5
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DOI: https://doi.org/10.1007/978-3-030-45096-0_5
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