Digital predistortion expressed as an adding signal technique in OFDM context

Gouba, O. Abel; Louët, Yves

doi:10.1109/newcas.2013.6573599

Cited by 2 publications

(2 citation statements)

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“…However, this process needs a preliminary PA's characteristic estimation. Many of the recent DPD schemes have considered this perspective [6]- [9]. A DPD technique that relies on iterative compensation of error (ICE) has been proposed for non-linearly amplified OFDM signals in [6].…”

Section: Introductionmentioning

confidence: 99%

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Hardware-friendly Power Amplifier Linearization in Next-Generation Broadcasting Systems

Krishna Chaitanya Bulusu,

Zampato,

Susarla

et al. 2023

2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)

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It is essential to mitigate power amplifier (PA) nonlinear (NL) effects to achieve energy-efficient radio communications. To restore the transmit signal quality, digital pre-distortion (DPD) is widely used. Recently, fast convergence DPD (FC-DPD) which offers good PA linearization has been proposed for next-generation broadcasting systems. However, it suffers from complexity issues and this paper addresses that drawback and we propose a low-complex version to make it hardware-friendly. We achieve significant complexity reduction by simplifying the Jacobian computation needed in the FC-DPD algorithm. This scheme can be extended to any memory-less PA model or a measured PA fitted to a polynomial model. We have provided proof that the proposed technique has linear complexity and the simulation results indicate that the proposed scheme achieves performance close to the FC-DPD algorithm. This method can be applied to other transmission systems as well.

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Section: Introductionmentioning

confidence: 99%

“…Many of the recent DPD schemes have considered this perspective [6]- [9]. A DPD technique that relies on iterative compensation of error (ICE) has been proposed for non-linearly amplified OFDM signals in [6]. However, this scheme suffers from slow convergence.…”

Section: Introductionmentioning

confidence: 99%