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- W3111198313 abstract "In-band full duplex (IBFD) radio represents one of the key technologies for future wireless communication and radar applications. A major challenge of this technology is to mitigate the strong self-interfer-ence (SI) so that the residual SI level falls below the receiver's noise floor. Radio frequency (RF) self-inter-ference cancellation (SIC) is essential for preventing an IBFD receiver from becoming saturated by the SI. We commence with an in-depth review of the promising analog least mean square (ALMS) adaptive filtering architecture, conceived for RF SIC in the IBFD radio RF front-end. The cancellation circuits employing this architecture can be implemented purely by analog components without any involvement of more power-thirsty digital signal processing. The behaviors, performance, and implementation of the ALMS loop are presented. Finally, their applications in various IBFD radios are discussed, and future research directions are provided." @default.
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- W3111198313 date "2021-02-01" @default.
- W3111198313 modified "2023-09-29" @default.
- W3111198313 title "Analog Least Mean Square Adaptive Filtering for Self-Interference Cancellation in Full Duplex Radios" @default.
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- W3111198313 doi "https://doi.org/10.1109/mwc.001.2000210" @default.
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