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Analog Least Mean Square Loop For Self-Interference Cancellation In In-Band Full-Duplex Systems, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Analog Least Mean Square Loop For Self-Interference Cancellation In In-Band Full-Duplex Systems, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Faculty of Engineering and Information Sciences - Papers: Part B
Analog Least Mean Square (ALMS) loop is a promising method to cancel self-interference (SI) in in-band full-duplex (IBFD) systems. In this talk, the steady state analyses of the residual SI powers in both analog and digital domains are derived in frequency domain. It is proved that the ALMS loop amplifies the frequency components of the residual SI at the edges of the signal spectrum in the analog domain, but the matched filter in the receiver chain reduces this effect. This results in a significant improvement of the interference suppression ratio in the digital domain before information data detection. The lower …
Frequency Domain Characterization And Performance Bounds Of Alms Loop For Rf Self-Interference Cancellation, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y J. Guo, J (Yiannis) Vardaxoglou
Frequency Domain Characterization And Performance Bounds Of Alms Loop For Rf Self-Interference Cancellation, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y J. Guo, J (Yiannis) Vardaxoglou
Faculty of Engineering and Information Sciences - Papers: Part B
Analog Least Mean Square (ALMS) loop is a promising method to cancel self-interference (SI) in in-band fullduplex (IBFD) systems. In this paper, the steady state analyses of the residual SI powers in both analog and digital domains are firstly derived. Eigenvalue decomposition is then utilized to investigate the frequency domain characteristics of the ALMS loop. Our frequency domain analyses prove that the ALMS loop has an effect of amplifying the frequency components of the residual SI at the edges of the signal spectrum in the analog domain. However, the matched filter in the receiver chain will reduce this effect, resulting …
Analog Least Mean Square Loop For Self-Interference Cancellation: Implementation And Measurements, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Analog Least Mean Square Loop For Self-Interference Cancellation: Implementation And Measurements, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo
Faculty of Engineering and Information Sciences - Papers: Part B
Analog least mean square (ALMS) loop is a simple and efficient adaptive filter to cancel self-interference (SI) in in-band full-duplex (IBFD) radios. 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 loop including two taps is implemented. The prototype is evaluated in IBFD systems which have 20 MHz and 50 MHz bandwidths, respectively, with the carrier frequency of 2.4 GHz. The performance of the prototype with different roll-off factors of the transmit pulse shaping filter is also examined. Experimental results show that the ALMS loop can …