Home Technology Simulation studies on a vertical cavity surface emitting LASER (VCSEL) based radio over fiber link for satellite intermediate frequency (IF) signal distribution
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Simulation studies on a vertical cavity surface emitting LASER (VCSEL) based radio over fiber link for satellite intermediate frequency (IF) signal distribution

  • Nivedhitha S , Ashok P ORCID logo EMAIL logo , Ganesh Madhan M , Murali Krishna K , Yuvaraaj M and Selvam C
Published/Copyright: February 28, 2025
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Abstract

Radio over fiber (RoF) for satellite intermediate frequency (IF) signal distribution is essential for long-distance, low-loss IF signal transmission from satellite ground stations. The optical connection uses low-loss optical transmission windows for operation. Satellite communication infrastructure requires sophisticated optical components including laser sources, optical modulators, and photodetectors to preserve signal integrity and bandwidth. Satellite-based services through hundreds of channels offer audio and image displays of film quality. By sending broadcast signals from earth satellites, they address the issues of distortion and range. There are many more clients in the line of sight for the satellites. Hence, optical transmission of satellite signals from a single antenna will be economical along with better signal to noise ratio. This paper investigates the cost-effective distribution of satellite IF signals for a Ku band radio over fiber link. The model consists of an ideal low noise block converter arrangement in the antenna, followed by an 850 nm VCSEL based multimode fiber link. The receiver part of the link has a PIN photo detector and blocks to extract the data from IF band of (Digital video broadcasting- satellite) DVB-S modulated signal. The link performance is evaluated based on scatter plot and error vector magnitude. The effect of operating temperature and the link length on the overall performance is also examined.


Corresponding author: Ashok P, Symbiosis Institute of Digital and Telecom Management (SIDTM), Symbiosis International (Deemed University) (SIU), Lavale, Pune, Maharashtra, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-12-19
Accepted: 2025-02-10
Published Online: 2025-02-28

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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