Improved spectral demodulation algorithm with EEMDAD for sapphire fiber Fabry–Perot high-temperature sensing

Abstract

In this paper, an improved spectral demodulation algorithm with the ensemble empirical mode decomposition average denoising is proposed to suppress order jumps in the sapphire fiber Fabry–Perot high-temperature sensing system. It is proven that the signal-to-noise ratio of the sensor is closely related to the severity of the demodulation jumps. The proposed algorithm can reduce the fluctuations of key parameters by reducing the noise in the spectrum, thus overcoming this obstacle. The simulations and experiment demonstrate that the algorithm can effectively eliminate the order jumps in both stable and variable temperature environments. The proposed algorithm solves the order jumping problem that has long plagued the demodulation of this system, improves demodulation accuracy, ensures the reliable operation of the high-temperature sensor, and exhibits excellent demodulation performance.