Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings

Research Article

Linearizing RF Power Amplifiers Using Adaptive RPEM Algorithm

Download
208 downloads
  • @INPROCEEDINGS{10.1007/978-3-030-30149-1_18,
        author={Han Duc and Minh Nguyen and Van-Phuc Hoang and Hien Nguyen and Duc Nguyen},
        title={Linearizing RF Power Amplifiers Using Adaptive RPEM Algorithm},
        proceedings={Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings},
        proceedings_a={INISCOM},
        year={2019},
        month={9},
        keywords={Power amplifier RPEM algorithm Linearizing},
        doi={10.1007/978-3-030-30149-1_18}
    }
    
  • Han Duc
    Minh Nguyen
    Van-Phuc Hoang
    Hien Nguyen
    Duc Nguyen
    Year: 2019
    Linearizing RF Power Amplifiers Using Adaptive RPEM Algorithm
    INISCOM
    Springer
    DOI: 10.1007/978-3-030-30149-1_18
Han Duc1, Minh Nguyen1, Van-Phuc Hoang1,*, Hien Nguyen2, Duc Nguyen3
  • 1: Le Quy Don Technical University
  • 2: Duy Tan University
  • 3: Hanoi University of Science and Technology
*Contact email: phuchv@lqdtu.edu.vn

Abstract

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.