Article ID Journal Published Year Pages File Type
566238 Signal Processing 2017 12 Pages PDF
Abstract

•We solve the problem of self-interference mitigation in full-duplex MIMO relays.•Blind adaptive time-domain algorithms based on recursive least-squares are developed.•Simulation results show residual self-interference levels below the noise floor.

We develop adaptive self-interference cancellation algorithms for both filter-and-forward and decode-and-forward multiple-input multiple-output relays. The algorithms are blind in the sense that they only exploit the spectral properties of the transmitted signal to identify the self-interference channel, while dealing with frequency-selective channels and arbitrary signal spectra. Our approach is non-intrusive in the sense that the algorithms can successfully identify, track, and cancel the self-interference distortion while the relay is operating in its normal mode. We study the stationary points of the algorithms and analyze under which conditions they achieve perfect cancellation of the self-interference. Simulation results show that the algorithms provide residual self-interference levels below the noise floor by using the time samples of only a few OFDM symbols.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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