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Comparative Analysis of Two Types of Combined Power-Over-Fiber and Radio-Over-Fiber Systems Using Raman Amplification
Paulo Kiohara1,2, Romildo H Souza1,2, Véronique Quintard2
1Laboratório de Guerra Eletrônica, Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos 12228-900, SP, Brazil.
This study explores hybrid power-over-fiber (PoF) and radio-over-fiber (RoF) systems for remote sensing. A 1550 nm high-power laser source (HPLS) offers better performance by minimizing noise figure degradation.
Area of Science:
- Optoelectronics
- Fiber optics communications
- Remote sensing technologies
Background:
- Analog radio-over-fiber (RoF) and power-over-fiber (PoF) systems are suitable for remote sensors in hazardous environments.
- Combining PoF and RoF offers a hybrid solution for practical applications where electrical wiring is challenging.
Purpose of the Study:
- To present a hybrid PoF and RoF architecture utilizing Raman amplification for radio frequency (RF) gain.
- To evaluate two high-power laser sources (HPLSs) for the PoF system: a 1480 nm Raman-based HPLS and a 1550 nm erbium-doped fiber amplifier (EDFA) based HPLS.
- To analyze the simulation of Raman scattering (SRS) in SMF 28 fiber links of varying lengths using these HPLSs.
Main Methods:
- Implementation of a hybrid PoF and RoF system architecture.
- Utilizing Raman amplification to achieve RF gain.
- Comparative analysis of two HPLSs (1480 nm Raman-based and 1550 nm EDFA-based) in SMF 28 fiber links.
- Evaluation of RF power gain (GRF), noise figure (NF), and spurious-free dynamic range (SFDR).
Main Results:
- The 1550 nm HPLS-based PoF system demonstrated superior performance.
- Lower noise figure (NF) degradation was observed with the 1550 nm HPLS, even with optical amplification noise.
- Comparative analysis revealed distinct impacts of each HPLS on RF signal parameters.
Conclusions:
- The hybrid PoF and RoF architecture effectively integrates power and RF transmission.
- The 1550 nm HPLS is a more suitable choice for this hybrid system due to its lower noise figure impact.
- This research provides valuable insights for designing robust remote sensing systems in challenging environments.
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