Pre-distortion of nonlinear power amplifiers using ABC and PSO algorithms

Bipin, P. R.; Rao, P. V.

doi:10.1109/iccsp.2015.7322762

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…28 It has also been reported that PSO has potential for pre-distortion applications. 29 The aim of this paper is to propose an automatic multi-objective PSO (AMOPSO) algorithm for design of DPAs. Through the use of load-pull and source-pull techniques, optimal matching impedance information is obtained, and simulation performance metrics, including Pout and PAE, are used to select the appropriate matching network parameters in each iteration of the proposed algorithm, resulting in excellent DPA performance.…”

Section: Introductionmentioning

confidence: 99%

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Automatic multi‐objective particle swarm optimization method for effective Doherty power amplifier design

Hao,

Qu,

Huang

et al. 2024

Int J Numerical Modelling

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In this paper, an automatic multi‐objective particle swarm optimization (AMOPSO) method is developed for the design of Doherty power amplifiers (DPAs). In comparison to the well‐known built‐in optimizer available in commercial simulators, the proposed method not only reduces the optimization time, but also provides superior power added efficiency (PAE) for the final power amplifier. According to the reported measurements, the output PAE of the fabricated DPA exceeds 50% at 6 dB backoff, the saturated PAE is more than 61%, and the saturated output power (Pout) is over 43 dBm in the target frequency range of 1.9–2.1 GHz. As compared with existing optimization methods, the proposed method allows reducing optimization time by more than 37%.

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Section: Introductionmentioning

confidence: 99%

“…Studies have been conducted using the PSO algorithm to design PAs, including studies of automated PA design, 26 broadband PA design, 27 and class‐E PA design 28 . It has also been reported that PSO has potential for pre‐distortion applications 29 …”

Section: Introductionmentioning

confidence: 99%