International Journal of RF and Microwave Computer-Aided Engineering

Volume 32, Issue 4 e23046

ORIGINAL ARTICLE

Bandwidth adaptive behavioral model with dynamic structures for radio frequency power amplifiers

Jiayan Wu,

Jiayan Wu

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Songbai He,

Songbai He

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Jun Peng,

Corresponding Author

Jun Peng

[email protected]

orcid.org/0000-0001-6188-731X

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Correspondence

Jun Peng, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Email: [email protected]

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Zehua Xiao,

Zehua Xiao

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Fei You,

Fei You

orcid.org/0000-0001-7708-4618

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Jiayan Wu,

Jiayan Wu

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Songbai He,

Songbai He

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Jun Peng,

Corresponding Author

Jun Peng

[email protected]

orcid.org/0000-0001-6188-731X

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Correspondence

Jun Peng, School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Email: [email protected]

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Zehua Xiao,

Zehua Xiao

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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Fei You,

Fei You

orcid.org/0000-0001-7708-4618

School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

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First published: 25 December 2021

https://doi.org/10.1002/mmce.23046

Citations: 1

Funding information: China Postdoctoral Science Foundation, Grant/Award Number: 2019M663472; National Key Research and Development Program of China, Grant/Award Number: 2018YFB1802004; National Natural Science Foundation of China, Grant/Award Numbers: 61871075, 62001082

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Abstract

To cope with the degradation of digital predistortion when bandwidth changes, a bandwidth adaptive behavioral model with dynamic structures for radio frequency (RF) power amplifiers (PAs) is proposed in this article. By applying the nonlinear post-compensation technology, PA's nonlinearity is decomposed and analyzed. Short-time Fourier transform and transfer functions are adopted to study the influence of bandwidth variation on the linear memory effect. Based on PA's memory effect analysis, a bandwidth adaptive model with dynamic structures and a coefficient update scheme with low complexity are proposed. Experiments carried on PAs show that the proposed model achieves similar linearization performance as other conventional models. Simultaneously, the proposed model has fewer coefficients and a reduction in the coefficient update of at least 50%.

Open Research

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

REFERENCES

1Cripps SC. RF Power Amplifiers for Wireless Communications. Artech House; 2006.
Google Scholar
2Pang J, Chu C, Li Y, Zhu A. Broadband RF-input continuous-mode load-modulated balanced power Amplifier with input phase adjustment. IEEE Trans Microw Theory Tech. 2020; 68(10): 4466-4478. doi:10.1109/TMTT.2020.3012141
10.1109/TMTT.2020.3012141
Web of Science® Google Scholar
3Li C, You F, Yao T, et al. Simulated annealing particle swarm optimization for high-efficiency power Amplifier design. IEEE Trans Microw Theory Tech. 2021; 69(5): 2494-2505. doi:10.1109/TMTT.2021.3061547
10.1109/TMTT.2021.3061547
Google Scholar
4Hookari M, Roshani S, Roshani S. High-efficiency balanced power amplifier using miniaturized harmonics suppressed coupler. Int J RF Microw Comput Aided Eng. 2020; 30:e22252. doi:10.1002/mmce.22252
10.1002/mmce.22252
Web of Science® Google Scholar
5Ghannouchi FM, Hammi O. Behavioral modeling and predistortion. IEEE Microw Mag. 2009; 10(7): 52-64. doi:10.1109/MMM.2009.934516
10.1109/MMM.2009.934516
Web of Science® Google Scholar
6Guan L, Zhu A. Green communications: digital predistortion for wideband RF power amplifiers. IEEE Microw Mag. 2014; 15(7): 84-99. doi:10.1109/MMM.2014.2356037
10.1109/MMM.2014.2356037
Web of Science® Google Scholar
7Kim J, Konstantinou K. Digital predistortion of wideband signals based on power amplifier model with memory. IET Electron Lett. 2001; 37(23): 1417-1418. doi:10.1049/el:20010940
10.1049/el:20010940
Web of Science® Google Scholar
8Morgan DR, Ma Z, Kim J, Zierdt MG, Pastalan J. A generalized memory polynomial model for digital Predistortion of RF power Amplifiers. IEEE Trans Signal Process. 2006; 54(10): 3852-3860. doi:10.1109/TSP.2006.879264
10.1109/TSP.2006.879264
Web of Science® Google Scholar
9Zhu A, Pedro JC, Brazil TJ. Dynamic deviation reduction-based Volterra behavioral modeling of RF power Amplifiers. IEEE Trans Microw Theory Tech. 2006; 54(12): 4323-4332. doi:10.1109/TMTT.2006.883243
10.1109/TMTT.2006.883243
Web of Science® Google Scholar
10Yu C, Lu Q, Yin H, et al. Linear-decomposition digital Predistortion of power Amplifiers for 5G Ultrabroadband applications. IEEE Trans Microw Theory Tech. 2020; 68(7): 2833-2844. doi:10.1109/TMTT.2020.2975637
10.1109/TMTT.2020.2975637
Google Scholar
11Peng J, He S, You F, Weng J. Volterra series-based model for concurrent dual-band power amplifier using dynamic memory depth. Int J RF Microw Comput Aided Eng. 2019; 29:e21578. doi:10.1002/mmce.21578
10.1002/mmce.21578
Google Scholar
12Wang X, Li S, Ye J, et al. Research on digital predistortion technology based on improved NLMS algorithm. Int J RF Microw Comput Aided Eng. 2021; 31:e22661. doi:10.1002/mmce.22661
10.1002/mmce.22661
Web of Science® Google Scholar
13Pascual Campo P et al. Closed-loop sign algorithms for low-complexity digital Predistortion: methods and performance. IEEE Trans Microw Theory Tech. 2021; 69(1): 1048-1062.
10.1109/TMTT.2020.3038316
Web of Science® Google Scholar
14Chen L, Chen W, Liu YJ, et al. Linearization of a directional modulation transmitter using low-complexity cascaded digital Predistortion. IEEE Trans Microwave Theory Techn. 2019; 67(11): 4467-4478. doi:10.1109/TMTT.2019.2921346
10.1109/TMTT.2019.2921346
Web of Science® Google Scholar
15Yu C, Wang G, Liu Y. Low complexity output generalized memory polynomialmodel for digital predistortion of RF power ampli-fiers. Int J RF Microw Comput Aided Eng. 2018; 28:e21465. doi:10.1002/mmce.21465
10.1002/mmce.21465
Web of Science® Google Scholar
16Brink ST. Coding over space and time for wireless systems. IEEE Trans Wirel Commun. 2006; 13(4): 18-30. doi:10.1109/MWC.2006.1678162
10.1109/MWC.2006.1678162
Google Scholar
17Guo Y, Yu C, Zhu A. Power adaptive digital Predistortion for wideband RF power Amplifiers with dynamic power transmission. IEEE Trans Microw Theory Tech. 2015; 63(11): 3595-3607. doi:10.1109/TMTT.2015.2480739
10.1109/TMTT.2015.2480739
Google Scholar
18Hammi O, Kwan A, Ghannouchi FM. Bandwidth and power scalable digital Predistorter for compensating dynamic distortions in RF power Amplifiers. IEEE Trans Broadcast. 2013; 59(3): 520-527. doi:10.1109/TBC.2013.2262692
10.1109/TBC.2013.2262692
Google Scholar
19Li Y, Zhu A. On-demand real-time Optimizable dynamic model sizing for digital Predistortion of broadband RF power Amplifiers. IEEE Trans Microw Theory Tech. 2020; 68(7): 2891-2901. doi:10.1109/TMTT.2020.2982165
10.1109/TMTT.2020.2982165
Web of Science® Google Scholar
20Guillena E, Li W, Montoro G, Quaglia R, Gilabert PL. Reconfigurable DPD based on ANNs for wideband load modulated balanced Amplifiers under dynamic operation from 1.8 to 2.4 GHz. IEEE Trans Microwave Theory Techn. 2021; 1. doi:10.1109/TMTT.2021.3091672
10.1109/TMTT.2021.3091672
Google Scholar
21Hammi O, Carichner S, Vassilakis B, Ghannouchi FM. Power Amplifiers' model assessment and memory effects intensity quantification using Memoryless post-compensation technique. IEEE Trans Microw Theory Tech. 2008; 56(12): 3170-3179. doi:10.1109/TMTT.2008.2006809
10.1109/TMTT.2008.2006809
Web of Science® Google Scholar
22Griffin D, Lim J. Signal estimation from modified short-time Fourier transform. IEEE Trans Acoust Speech Signal Process. 1984; 32(2): 236-243.
10.1109/TASSP.1984.1164317
Web of Science® Google Scholar
23Pang J, He S, Dai Z, Huang C, Peng J, You F. Design of continuous-mode GaN power amplifier with compact fundamental impedance solutions on package plane. IET Microw Antennas Propag. 2016; 10(10): 1056-1064. doi:10.1049/iet-map.2015.0804
10.1049/iet?map.2015.0804
Web of Science® Google Scholar
24Basso CP. Linear circuit transfer functions: an introduction to fast analytical techniques. Circuit Theory & Design. Wiley-IEEE Press; 2006.
Google Scholar
25Li C, You F, Peng J, Wang J, Haider MF, He S. Co-design of matching sub-networks to realize broadband symmetrical doherty with configurable back-off region. IEEE Trans Circuits Syst II, Exp Briefs. 2020; 67(10): 1730-1734. doi:10.1109/TCSII.2019.2946395
10.1109/TCSII.2019.2946395
Google Scholar

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Bandwidth adaptive behavioral model with dynamic structures for radio frequency power amplifiers

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Bandwidth adaptive behavioral model with dynamic structures for radio frequency power amplifiers

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