System Development & Application
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2428-2432

Dual-frequency predistortion structure with adaptive sparse reconstruction

Gao Mingming1,2
Wu Yue1
Fang Shaojun2
Nan Jingchang1
1. School of Electronic Information & Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
2. College of Informa-tion Science & Technology, Dalian Maritime University, Dalian Liaoning 116026, China
DOI: 10.19734/j.issn.1001-3695.2019.03.0103

Abstract

To solve the problem of high sampling rate in the dual frequency amplifier predistortion system, this paper proposed an adaptive sparse predistortion structure based on compressed sensing. Firstly, it used the memory effect compensator based on piecewise polynomial model, and then understood the signal fusion as the compressive sensing sampling reconstruction problem. That was, the pre-distortion feedback loop used the adaptive sparse algorithm to reconstruct the missing intermodulation signals of the fifth order and the higher order with high accuracy, so that the minimum mean square solution of coefficient weight value approximated to the optimal value. This method could reduce the acquisition error and improve linearization. The experimental results show that normalized mean squared error display is about 2~3 dB better than 2 dimensional-memory polynomial(2D-MP) and 2 dimensional-canonical piecewise linear(2D-CPWL) in improving the system stability. The adjacent channel power radio(ACPR) can be improved to 20 dBc. It is of great significance to reduce the predistortion sampling rate of dual frequency band and improve the linearity of power amplifier.

Foundation Support

国家自然科学基金青年科学基金资助项目(61701211)
辽宁省特聘教授项目(551710007004)
辽宁省高校重点实验室项目(LJZS007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0103
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: System Development & Application
Pages: 2428-2432
Serial Number: 1001-3695(2020)08-039-2428-05

Publish History

[2020-08-05] Printed Article

Cite This Article

高明明, 吴月, 房少军, 等. 自适应稀疏重构的双频预失真结构 [J]. 计算机应用研究, 2020, 37 (8): 2428-2432. (Gao Mingming, Wu Yue, Fang Shaojun, et al. Dual-frequency predistortion structure with adaptive sparse reconstruction [J]. Application Research of Computers, 2020, 37 (8): 2428-2432. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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