量化(信号处理)
计算机科学
光学
自由空间光通信
西格玛
自编码
三角积分调变
增量调制
自由空间
调制(音乐)
光通信
功率(物理)
带宽(计算)
电信
物理
算法
人工智能
量子力学
脉冲幅度调制
深度学习
探测器
声学
脉搏(音乐)
作者
Jifan Cai,Zhilan Lü,Zhiteng Luo,Junwen Zhang,Nan Chi
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2023-09-11
卷期号:48 (20): 5217-5217
被引量:8
摘要
This Letter proposes a novel, to the best of our knowledge, approach utilizing a delta-sigma modulation (DSM)-based 1-bit autoencoder (AE) for efficient encoding and decoding in various channel conditions. Simulation analysis demonstrates the AE's ability to mitigate noise by reducing a peak-to-average power ratio (PAPR) and enhancing an in-band power of the signals, particularly under low signal-to-noise ratios (SNRs). The AE-DSM achieves theoretical transmission performance even at SNRs below 6 dB. In a 40-m free-space link experiment, the AE-DSM exhibits an 8.4-dB lower bit error rate (BER) compared to 64QAM-DSM, enabling a transmission rate of 1.31 Gbps. Furthermore, the 1-bit AE-DSM significantly reduces power consumption in the receiving analog-to-digital converter (ADC), facilitates transmission at low SNRs, and effectively mitigates nonlinear effects. Consequently, the DSM-based AE holds immense potential for future mobile fronthaul links.
科研通智能强力驱动
Strongly Powered by AbleSci AI