A novel SOA-Based method for enhancing SNR in FBG-Based strain and temperature sensing
摘要
This paper introduces the first integrated three-stage design including a semiconductor optical amplifier (SOA), an erbium-doped fiber amplifier (EDFA), and a noise suppression loop. This system effectively mitigates amplified spontaneous emission (ASE) noise in fiber Bragg grating (FBG)-based strain and temperature sensing applications. The proposed configuration addresses the persistent challenge of a low signal-to-noise ratio (SNR), which limits the sensitivity and precision of FBG sensors. The system consists of an SOA-based modulator, an EDFA pre-amplifier with feedback control, and a fast photodetector within a noise-suppression module. Previous interrogation methods have achieved SNRs approaching 30 dB. Our design exceeds this threshold, delivering an output SNR improvement of 35.34 dB compared to conventional single-stage architectures. Simulation results validate the effectiveness of the proposed design in enhancing signal quality. They also demonstrate its strong potential for deployment in high-precision sensing applications, including structural health monitoring, aerospace systems, and biomedical diagnostics.