On the Advantages of Microwave Photonic Interrogation of Fiber-Based Sensors: A Noise Analysis

Although microwave photonic approaches have been used for fiber sensing applications before, most contributions in the past dealt with evaluating the sensor signal's amplitude. Carrying this topic on, the authors previously presented a scheme for the interrogation of fiber sensors that was based on a fiber Bragg grating's phase response for the electrical signal. However, neither has the measurement setup been analyzed nor have the amplitude and phase-based approaches been compared in detail before. Hence, this paper picks up the previously proposed setup, which relies on an amplitude modulation of the optical signal and investigates for sources of signal degradation, an aspect that has not been considered before. Following the incorporation of the microwave signal, the setup is suitable not only for an amplitude-based evaluation of fiber Bragg gratings but also for a phase-based evaluation. In this context, the signal-to-noise ratios are studied for the conventional amplitude-based evaluation approach and for the recently developed phase-based approach. The findings indicate a strong advantage for the signal-to-noise ratio of the phase response evaluation; an 11 dB improvement at the least has been found for the examined setup. Further studies may investigate the consequences and additional benefits of this approach for radio-over-fiber sensing systems or general performance aspects such as achievable sensitivity and sampling rates.

Automated summary

Although microwave photonic approaches have been used for fiber sensing applications before, most previous contributions focused on evaluating the amplitude of the sensor signal. This paper proposes a scheme based on the phase response of a fiber Bragg grating for the interrogation of fiber sensors, and compares it with the amplitude-based approach. The findings show a significant improvement in the signal-to-noise ratio for the phase response evaluation, indicating the potential benefits of this approach for radio-over-fiber sensing systems.