Le Duc, H. and Nguyen, M.H. and Hoang, V.-P. and Nguyen, H.M. and Nguyen, D.M. (2019) Linearizing RF power amplifiers using adaptive RPEM algorithm. In: 5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019, 19 August 2019 through 19 August 2019.
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This paper proposes the adaptive indirect learning architecture (ILA) based digital predistortion (DPD) technique using a recursive prediction error minimization (RPEM) algorithm for linearizing radio frequency (RF) power amplifiers (PAs). The RPEM algorithm allows the forgetting factor to vary with time, which makes the predistorter (PD) parameter estimates more consistent and accurate in steady state, and hence reduces mean square errors. The proposed DPD technique is evaluated with respect to the error vector magnitude (EVM) and the adjacent channel power ratio (ACPR). The simulated PA Wiener model is used to validate the efficiency of the proposed algorithms. The simulation results have confirmed the improvement of the proposed adaptive RPEM ILA based DPD in terms of EVM and ACPR. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Control Engineering |
| Identification Number: | 10.1007/978-3-030-30149-1_18 |
| Uncontrolled Keywords: | Digital radio; Errors; Intelligent systems; Mean square error; Radio frequency amplifiers; Adjacent channel power ratio; Digital predistortion; Error vector magnitude; Indirect learning architectures; Linearizing; Radio frequency power; Recursive prediction errors; RF power amplifiers; Power amplifiers |
| Additional Information: | Conference code: 231569. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9431 |
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