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Analog Least Mean Square Loop For Self-Interference Cancellation: A Practical Perspective, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Analog Least Mean Square Loop For Self-Interference Cancellation: A Practical Perspective, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Faculty of Engineering and Information Sciences - Papers: Part B
Self-interference (SI) is the key issue that prevents in-band full-duplex (IBFD) communications from being practical. Analog multi-tap adaptive filter is an efficient structure to cancel SI since it can capture the nonlinear components and noise in the transmitted signal. Analog least mean square (ALMS) loop is a simple adaptive filter that can be implemented by purely analog means to sufficiently mitigate SI. Comprehensive analyses on the behaviors of the ALMS loop have been published in the literature. This paper proposes a practical structure and presents an implementation of the ALMS loop. By employing off-the-shelf components, a prototype of the ALMS …
Beam-Based Analog Self-Interference Cancellation In Full-Duplex Mimo Systems, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Beam-Based Analog Self-Interference Cancellation In Full-Duplex Mimo Systems, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Faculty of Engineering and Information Sciences - Papers: Part B
Self-interference (SI) cancellation for full-duplex (FD) multiple input multiple output (MIMO) systems is challenging due to both hardware and signal processing complexity. In this paper, a beam-based adaptive filter structure with analog least mean square (ALMS) loops is proposed to significantly reduce the complexity of SI cancellation for FD MIMO systems. With this structure, the number of adaptive filters required for SI cancellation scales linearly with the number of transmit beams rather than quadratically with the number of antennas. Furthermore, to avoid additional transmit chains used to upconvert the beam signals to generate reference signals for the ALMS loops, a …