Broadband, Low‐Crosstalk, and Massive‐Channels OAM Modes De/Multiplexing Based on Optical Diffraction Neural Network

宽带 多路复用器 多路复用 电信 光通信 波分复用 光塞取多工机 物理 瓶颈 计算机科学 光学 波长 光电子学 电子工程 光学性能监测 工程类 嵌入式系统
作者
Zhibing Liu,Shecheng Gao,Zhaoyu Lai,Yuru Li,Zhaohuan Ao,LI Jin-pei,Jiajing Tu,Yanxiong Wu,Weiping Liu,Zhaohui Li
出处
期刊:Laser & Photonics Reviews [Wiley]
卷期号:17 (4) 被引量:42
标识
DOI:10.1002/lpor.202200536
摘要

Abstract Optical communication technology based on the wavelength, time, polarization, and complex amplitude of light is approaching a bottleneck, while the spatial dimension is relatively unexplored. Orbital angular momentum (OAM) beams are an important group of spatial light beams that are promising for increasing the optical communication capacity based on their orthogonality. To effectively utilize this spatial dimension of light, broadband and low‐crosstalk OAM mode de/multiplexing devices are indispensable. In this work, by exploiting an optical diffraction neural network, a low‐crosstalk OAM de/multiplexer operating in the full C+L band is developed and demonstrated. The device can support 16 OAM modes ( l = ±1 to ±8) with 5 phase plates (8‐level phase), and the designed insertion loss and average intermode crosstalk are better than −2.8 and −30.9 dB, respectively. In particular, multiplexing and demultiplexing are experimentally performed on the same device. The measured average insertion loss in mutltiplexing and demulteplexing is −6.1 to −5.4 and −6.8 to −5.8 dB, respectively, and the corresponding average intermode crosstalk is −27.2 to −22.7 and −26.5 to −22.4 dB. The results in this work have great application prospects for the design of mode de/multiplexers and mode division multiplexing communication systems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.3应助鸭鸭采纳,获得10
2秒前
3秒前
4秒前
勿忘完成签到,获得积分10
4秒前
杨森发布了新的文献求助10
4秒前
6秒前
爆米花应助甜甜高跟鞋采纳,获得10
6秒前
7秒前
烟花应助11采纳,获得10
8秒前
8秒前
幸运星发布了新的文献求助20
8秒前
8秒前
yolo完成签到,获得积分10
9秒前
10秒前
XHL发布了新的文献求助10
10秒前
11秒前
明月完成签到,获得积分10
11秒前
11秒前
小马甲应助小马爱科研采纳,获得10
13秒前
yikeky星完成签到 ,获得积分10
13秒前
13秒前
aaa发布了新的文献求助10
14秒前
呆萌惜梦发布了新的文献求助10
14秒前
14秒前
15秒前
乐正亦寒完成签到 ,获得积分10
15秒前
15秒前
16秒前
鸭鸭发布了新的文献求助10
16秒前
顺心的面包完成签到,获得积分10
17秒前
xdx完成签到,获得积分10
17秒前
tony完成签到,获得积分10
17秒前
17秒前
阳光毛巾发布了新的文献求助10
18秒前
领导范儿应助畅快心情采纳,获得30
18秒前
19秒前
CipherSage应助於妙海采纳,获得10
20秒前
水水加油完成签到 ,获得积分10
20秒前
彭于晏应助adgcxvjj采纳,获得10
21秒前
Dudadadaa发布了新的文献求助80
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361350
求助须知:如何正确求助?哪些是违规求助? 8175163
关于积分的说明 17221223
捐赠科研通 5416216
什么是DOI,文献DOI怎么找? 2866187
邀请新用户注册赠送积分活动 1843500
关于科研通互助平台的介绍 1691442