A Novel Design Methodology for a Multioctave GaN-HEMT Power Amplifier Using Clustering Guided Bayesian Optimization

Guo, Jia; Crupi, Giovanni; Cai, Jialin

doi:10.1109/access.2022.3175870

Cited by 14 publications

(30 citation statements)

References 52 publications

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“…As discussed in [21], the traditional built-in optimizers may fail to find the satisfactory solution for broadband highefficiency PA designs, which generally have plenty of design variables [33]. Recently, the optimization of circuits has been realized by evolutionary algorithms, such as differential evolution (DE) [34], genetic algorithm (GA) [35], and particle swarm optimization (PSO) [36].…”

Section: A the Concept Of Bo Algorithmmentioning

confidence: 99%

“…In this paper, we chose Gaussian process regression (GPR) as the PSM, which may obtain satisfactory prediction results due to its flexibility as well as its scalability [40]- [42]. In addition, the clustering guided Gaussian process upper confidence bound (CG-GPUCB) method is selected as the acquisition function that is proposed in [21].…”

Section: A the Concept Of Bo Algorithmmentioning

confidence: 99%

“…As discussed in [21], a wideband high-efficiency PA can be successfully designed by using the above PSM and acquisition function. However, it is unrealistic to design broadband DPA using the approach alone, since there are multiple optimization functions in the optimization of the broadband DPA.…”

Section: A the Concept Of Bo Algorithmmentioning

confidence: 99%

“…In [19], a high efficiency broadband PA is designed using the optimization-oriented technique, named BO. In [21], a new forward automatic optimization system for RF PAs design is introduced based on the clustering guided BO algorithm. An ultra-broadband PA was successfully implemented, maintaining the output power and efficiency at a high level, which demonstrates the effectiveness of the method.…”

Section: Introductionmentioning

confidence: 99%

“…In [22], a broadband DPA is designed by optimizing the matching networks with BO strategy. In this work, further improvements for the work proposed in [21] has been made, which make it suit for ADPA design. The model accuracy is effectively improved by increasing the number of modeling times in each optimization iteration.…”

Section: Introductionmentioning

confidence: 99%

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A Broadband Asymmetric Doherty Power Amplifier Design Based on Multiobjective Bayesian Optimization: Theoretical and Experimental Validation

2022

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In this paper, a new multi-objective Bayesian optimization (BO) algorithm is applied to design a broadband gallium nitride (GaN) based Doherty power amplifier (DPA). The optimization process can be automatically implemented by combing the proposed methodology with a commercial simulation software. The performance of the DPA optimized by the proposed method is compared with those obtained with the initial designed DPA, the DPA optimized by existing BO method, and DPA optimized by the optimizers built-in using the commercial software advanced design system (ADS). The comparison results reveal that the DPA designed with the proposed method can achieve better performance with less optimization time than other optimization methods. The measured results show that the optimized DPA with the proposed method achieves a 9-dB back-off efficiency of 44.6%-65% and a saturated efficiency of 60.5%-78% from 2.0 GHz to 2.6 GHz, with saturated output power varying from 43.8 dBm to 45.2 dBm.

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Section: A the Concept Of Bo Algorithmmentioning

confidence: 99%

Section: A the Concept Of Bo Algorithmmentioning

confidence: 99%

Section: A the Concept Of Bo Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Broadband Asymmetric Doherty Power Amplifier Design Based on Multiobjective Bayesian Optimization: Theoretical and Experimental Validation

2022

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Efficient Amplification of Large‐Signal Spoof Surface Plasmon Polaritons in a Subwavelength Size

Liao,

Wu,

Guo

et al. 2024

Adv Materials Technologies

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The advancement of communication systems demands ever‐smaller sizes, leading to the integration of more circuits in compact forms. A promising solution lies in Spoof Surface Plasmon Polaritons (SSPPs), which enable strong confinement, low interference, and a significant wave vector, thereby facilitating smaller sizes. However, the amplification of large plasmonic signals in a compact size remains a daunting scientific challenge for the further development of SSPPs communication systems. In this study, this challenge is tackled by selecting GaN High Electron Mobility Transistors (HEMTs) and load/source‐pull technologies. To ensure efficient operation, impedance‐matching networks are designed, resulting in a remarkably small amplifier structure. The approach involves utilizing the Bayesian optimization (BO) algorithm to fine‐tune the matching network, leading to exceptional amplification performance. The results obtained in the frequency range of 1–3 GHz are highly promising, with both simulated and measured results demonstrating an impressive output power exceeding 40 dBm, a power added efficiency (PAE) surpassing 60%, and a gain exceeding 10 dB. These remarkable achievements underscore the viability of amplifying large‐signal SSPPs and outputting high‐power SSPPs waves within a subwavelength size, opening exciting possibilities for SSPPs communication, sensing, and imaging systems.

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Design of Multioctave PA Based on Spoof Surface Plasmon Polaritons

Geng,

Zhang,

Cai

et al. 2024

Adv Materials Technologies

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A novel spoof surface plasmon polaritons (SSPP) structure is applied to the design of radio frequency (RF) power amplifiers (PAs) in this work. Both standard SSPP and the proposed SSPP structures are used as input and output matching networks of a multioctave PA design. An analysis and discussion of the electromagnetic characteristics of the proposed SSPP structures is presented. Further optimization of PA performance is achieved by utilizing the gradient algorithm of the Advanced Design System tool. According to the test results, the newly developed SSPP‐based PA achieves output power ranging from 40.5 to 42.6 dBm, while the power additional efficiency varies between 60% and 66.55%, with a total layout size of 59.8 mm × 14.6 mm in the frequency band of 0.8–3.2 GHz. In comparison with recent published work, the PA designed in this work expands the bandwidth while maintaining high output power and efficiency while being smaller in size.

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A Novel Design Methodology for a Multioctave GaN-HEMT Power Amplifier Using Clustering Guided Bayesian Optimization

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 14 publications

References 52 publications

A Broadband Asymmetric Doherty Power Amplifier Design Based on Multiobjective Bayesian Optimization: Theoretical and Experimental Validation

A Broadband Asymmetric Doherty Power Amplifier Design Based on Multiobjective Bayesian Optimization: Theoretical and Experimental Validation

Efficient Amplification of Large‐Signal Spoof Surface Plasmon Polaritons in a Subwavelength Size

Design of Multioctave PA Based on Spoof Surface Plasmon Polaritons

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