1. HPA Linearization for Next Generation Broadcasting Systems With Fast Convergence-Digital Predistortion
- Author
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Daniel Roviras, Hmaied Shaiek, S. S. Krishna Chaitanya Bulusu, Mahindra Ecole Centrale [Hyderabad] (MEC), CEDRIC. Traitement du signal et architectures électroniques (CEDRIC - LAETITIA), Centre d'études et de recherche en informatique et communications (CEDRIC), and Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)
- Subjects
Operating point ,Orthogonal frequency-division multiplexing ,business.industry ,Computer science ,020206 networking & telecommunications ,02 engineering and technology ,Broadcasting ,Predistortion ,[SPI]Engineering Sciences [physics] ,Control theory ,Linearization ,Digital Video Broadcasting ,Convergence (routing) ,Convex optimization ,0202 electrical engineering, electronic engineering, information engineering ,Media Technology ,Electrical and Electronic Engineering ,business ,ComputingMilieux_MISCELLANEOUS - Abstract
The Last decade saw significant growth in the digital terrestrial television (DTT) subscribers. The High peak-to-average power ratio (PAPR) of the transmitted signal is implied by the large fluctuations in its amplitude, which is a serious issue in the contemporary and next generation DTT broadcasting systems. These large fluctuations prevent feeding the high power amplifier (HPA) at an operating point near its non-linear (NL) saturation region, thereby lowering its power efficiency. For a better future, energy-efficient green communications is the need of hour. This paper focuses on digital predistortion (DPD), which is among the widely used techniques for HPA linearization in order to minimize the NL effects. DPD technique requires a feedback signal. This paper proposes a novel adding signal-based digital predistortion, where the output of the HPA is gradually linearized by adding a signal at the input in an iterative manner. By Taylor series approximation, the DPD problem can be posed as a convex one. We prove that a tighter upper bound exists for the convergence factor and instead of directly solving the convex problem, we pick a convergence factor value within its bounds that offers a good trade-off between convergence speed and residual error value. The simulation results show that the proposed technique can quickly linearize the HPA with good convergence.
- Published
- 2021
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