通过使用多模激光二极管和可调谐 DFB 激光器的光异调技术生成微波信号的实验替代方案

IF 1.3 4区工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Latin America Transactions Pub Date : 2024-03-20 DOI:10.1109/TLA.2024.10534302

Ignacio Enrique Zaldívar-Huerta;Blaise Tshibangu Mbuebue;Alejandro García-Juárez;Edgard-Yvon Tshishimbi Kanyinda;Roberto Rojas-Laguna;Min Won Lee

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引用次数: 0

摘要

实验证明，它可以替代用于产生微波（MW）信号的经典光学异频技术。这项工作的独创性在于使用了与光纤布拉格光栅（FBG）和可调谐分布式反馈激光器（DFB）相关联的多模激光二极管（MLD），而不是两个 DFB。作为光学滤波器，FBG 可从 MLD 信号提供的各种模式中选择一种模式。被选中的单模信号与可调谐 DFB 的信号一起用作光跳动的参考。通过改变 DFB 波长来改变两个光信号之间的波长间隔（），从而实现可调谐性。实验结果与理论和模拟结果相互印证。系统性能评估是通过信噪比（SNR）和相位噪声（PN）测量来实现的。

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An experimental alternative of microwave signal generation through an optical heterodyning technique using a multimode laser diode and a tunable DFB laser

It is experimentally demonstrated as an alternative to one of the classical optical heterodyning techniques for generating microwave (MW) signals. The originality of this work resides in the use of a Multimode Laser Diode (MLD) associated with a Fiber Bragg Grating (FBG) and a tunable Distributed Feedback laser (DFB), instead of two DFBs. As an optical filter, the FBG selects a single mode among various provided by the MLD signal. The selected single-mode signal is used as a reference in the optical beating together with the signal of the tunable DFB. The tunability is achieved by varying the DFB wavelength to modify the wavelength spacing () between the two optical signals. The experimental results are corroborated with those obtained theoretically and by simulations. The system performance evaluation is achieved through the Signal-to-Noise Ratio (SNR) and the Phase Noise (PN) measurements

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来源期刊

IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

3.50

自引率

7.70%

发文量

192

审稿时长

3-8 weeks

期刊介绍： IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.