Cognitive Fiber Bragg Grating Sensors System Based on Fiber Fabry-Perot Tunable Filter Technology

The wavelength demodulation based on a Fiber Fabry-Perot Tunable Filter (FFP-TF) is a common method for multiplexing Fiber Bragg Grating (FBG) sensors. But this method cannot be used to detect high frequency signals due to the limitation by the highest scanning rate that the FFP-TF can achieve. To overcome this disadvantage, in this paper we present a scheme of cognitive sensors network based on FFP-TF technology. By perceiving the sensing environment, system can automatically switch into monitoring signals in two modes to obtain better measurement results: multi measurement points, low frequency (<1 KHz) signal, and few measurement points but high frequency (similar to 50 KHz) signals. This cognitive sensors network can be realized in current technology and satisfy current most industrial requirements.