Linearized wideband and multi-carrier link based on TL-ANN

• 作者: Enji Liu Zhenming Yu Zhiquan Wan Liang Shu Kaixuan Sun Lili Gui Kun Xu
• 来源期刊: 中国光学快报（英文版）
• 年，卷（期）: 2021,（11）
• 所属期刊栏目: Microwave Photonics
• 页码范围: 138-143
• 页数: 6页
• 语种: 英文
• DOI: 10.3788/COL202119.113901

摘要

The analog photonics link[APL]is widely used in microwave photonics.However,in wideband and multi-carrier systems,the third inter-modulation distortion[IMD3]and cross-modulation distortion[XMD]will jointly limit the spurious-free dynamic range[SFDR]of links.In this paper,we experimentally present a linearized wideband and multi-carrier APL,in which the IMD3 and XMD are mitigated simultaneously by using artificial neural networks with transfer learning[TL-ANN].In this experiment,with different artificial neural networks,which are trained with the knowledge obtained from the two-or three-sub-carrier system,the IMD3 and XMD are suppressed by 21.71 dB and 11.11 dB or 22.38 dB and 16.73 dB,and the SFBR is improved by 13.4 dB or 14.3 dB,respectively.Meanwhile,compared with previous studies,this method could reduce the training time and training epochs to 16％ and 25％.