Abstract
Modern radio frequency transceivers for wireless communication standards operating in frequency division duplex suffer from an unwanted Tx leakage signal. In combination with carrier aggregation this might harm the receiver in form of a so-called modulated spur interference. Different digital interference cancellation techniques have been proposed but suffer from a slow adaptation rate due to the high correlation of the involved Long Term Evolution (LTE) signals. This work derives and analyzes a new form of the Least-Mean-Squares (LMS) algorithm that incorporates knowledge of the signal statistics. Simulations show that the presented algorithm can effectively improve the cancellation and adaptation performance for real world interference scenarios.
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Acknowledgment
The authors wish to acknowledge DMCE GmbH & Co KG as part of Intel for supporting this work carried out at the Christian Doppler Laboratory for Digitally Assisted RF Transceivers for Future Mobile Communications. The financial support by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development is gratefully acknowledged.
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Motz, C., Ploder, O., Paireder, T., Huemer, M. (2020). Enhanced Transform-Domain LMS Based Self-interference Cancellation in LTE Carrier Aggregation 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_4
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DOI: https://doi.org/10.1007/978-3-030-45096-0_4
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