Markus Allen

TL;DR: An adaptive digital feed-forward linearization structure is developed to efficiently mitigate the joint nonlinear distortion of the whole receiver, which clearly outperforms the existing state-of-the-art methods that do not jointly consider RF and baseband nonlinearities.

TL;DR: The proposed PW-CL DPD is shown to outperform the state-of-the-art PW DPD based on the indirect learning architecture, as well as the classical single-polynomial-based DPD solutions in terms of linearization performance and computational complexity by a clear margin.

TL;DR: The results show that the linearization capabilities of the proposed methods are very close to that of the ordinary MP DPD, particularly with the proposed SMP approach, while having substantially lower processing complexity.

TL;DR: This paper proposes two digital receiver (RX) linearization and in-phase/quadrature (I/Q) correction solutions, where an additional reference RX (ref- RX) chain is adopted in order to obtain a more linear observation of the strong incoming signals.

TL;DR: The obtained results show that the proposed cancellers are implementation feasible and can suppress the self-interference by over 20 dB, canceling the distortion nearly perfectly up to UE transmit powers of +24 dBm.