从短噪声时间序列中提取光时延混沌系统的时延特征

IF 2.1 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Photonics Journal Pub Date : 2024-12-12 DOI:10.1109/JPHOT.2024.3516115

Shuhui Gong;Jing Zhu;Shiyuan Chen;Jun Wang;Mengfan Cheng;Xiaojing Gao

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引用次数: 0

摘要

光混沌通信（OCC）可以为高速数据传输提供物理层安全保障。在这些OCC系统中，时延签名（TDS）是一个关键的加密密钥。提出了一种基于储层计算（RC）网络的OCC系统TDS提取方法。RC网络的输出权矩阵提供了混沌时间序列与其时滞变量之间非线性相关性的数值表示。然后，通过量化权矩阵的特征提取TDS。通过提取两种主要类型的光延迟反馈混沌系统的TDS，验证了该方法的有效性。结果表明，即使在强非线性、噪声和外部随机干扰的情况下，TDS也能成功地从时间序列中提取出来。此外，我们的方法大大减少了所需的数据量。

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Time Delay Signature Extraction of Optical Time-Delay Chaos Systems From Short and Noisy Time Series

The optical chaos communication (OCC) can provide physical layer security for high-speed data transmission. In these OCC systems, the time delay signature (TDS) serves as a crucial encryption key. We propose a method based on reservoir computing (RC) network for TDS extraction of OCC systems. The output weight matrix of the RC network provides a numerical representation of nonlinear correlation between a chaotic time series and its time-delayed variants. Then, we can extract TDS by quantifying the features of the weight matrix. The effectiveness is verified by extracting TDS of the two main types of optical time-delay feedback chaos systems. The results demonstrate that, even in cases of strong nonlinearity, noise, and external random disturbance, the TDS can be successfully extracted from time series. Moreover, the required amount of data is significantly reduced in our method.

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来源期刊

IEEE Photonics Journal ENGINEERING, ELECTRICAL & ELECTRONIC-OPTICS

CiteScore

4.50

自引率

8.30%

发文量

489

审稿时长

1.4 months

期刊介绍： Breakthroughs in the generation of light and in its control and utilization have given rise to the field of Photonics, a rapidly expanding area of science and technology with major technological and economic impact. Photonics integrates quantum electronics and optics to accelerate progress in the generation of novel photon sources and in their utilization in emerging applications at the micro and nano scales spanning from the far-infrared/THz to the x-ray region of the electromagnetic spectrum. IEEE Photonics Journal is an online-only journal dedicated to the rapid disclosure of top-quality peer-reviewed research at the forefront of all areas of photonics. Contributions addressing issues ranging from fundamental understanding to emerging technologies and applications are within the scope of the Journal. The Journal includes topics in: Photon sources from far infrared to X-rays, Photonics materials and engineered photonic structures, Integrated optics and optoelectronic, Ultrafast, attosecond, high field and short wavelength photonics, Biophotonics, including DNA photonics, Nanophotonics, Magnetophotonics, Fundamentals of light propagation and interaction; nonlinear effects, Optical data storage, Fiber optics and optical communications devices, systems, and technologies, Micro Opto Electro Mechanical Systems (MOEMS), Microwave photonics, Optical Sensors.