z-logo
open-access-imgOpen Access
Adaptive over-the-air RF self-interference cancellation using a signal-of-interest driven regular triangle algorithm
Author(s) -
Lizhuo Zheng,
Shilin Xiao,
Zhiyang Liu,
Mable P. Fok,
Jiafei Fang,
Hang Yang,
Ming Lü,
Zhiyi Zhang,
Weisheng Hu
Publication year - 2020
Publication title -
optics letters
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 272
eISSN - 1071-2763
pISSN - 0146-9592
DOI - 10.1364/ol.385640
Subject(s) - single antenna interference cancellation , interference (communication) , computer science , active noise control , algorithm , bandwidth (computing) , transmission (telecommunications) , electronic engineering , telecommunications , engineering , channel (broadcasting) , decoding methods
An optically-enabled radio frquency (RF) self-interference cancellation system is demonstrated for over-the-air in-band full duplex transmission, based on a signal-of-interest (SOI) driven regular triangle algorithm. Since the goal of a self-interference cancellation system is to retrieve the SOI that is masked by the in-band interference signal, using the SOI quality as the driven parameter for optimizing the self-interference cancellation performance is a natural and effective way to allow the system to adapt to changes and obtain the best cancellation performance. Since regular triangle algorithm has short iteration time, bursts of pseudo-random binary sequence would be used between real data transmission for optimizing the self-interference cancellation performance. The adaptive regular triangle algorithm optimizes the cancellation setting such that the in-band interference can be cancelled to a minimum, i.e., down to the noise floor. During the over-the-air experiment, 22 dB of cancellation depth is obtained over a 300 MHz bandwidth at 18.35 GHz without the need of digital self-interference cancellation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom