Frequency-Estimation-Based Signal-Processing Algorithm For White-Light Optical Fiber Fabry-Perot Interferometers


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Optical Society of America


A novel signal-processing algorithm based on frequency estimation of the spectrogram of single-mode optical fiber Fabry-Perot interferometric sensors under white-light illumination is described. The frequency-estimation approach is based on linear regression of the instantaneous phase of an analytical signal, which can be obtained by preprocessing the original spectrogram with a bandpass filter. This method can be used for a relatively large cavity length without the need for spectrogram normalization to the spectrum of the light source and can be extended directly to a multiplexed sensor system. Experimental results show that the method can yield both absolute measurement with high resolution and a large dynamic range. Performance analysis shows that the method is tolerant of background noise and variations of the source spectrum. (c) 2005 Optical Society of America.



Internal mirrors, Sensors


Fabin Shen and Anbo Wang, "Frequency-estimation-based signal-processing algorithm for white-light optical fiber Fabry-Perot interferometers," Appl. Opt. 44, 5206-5214 (2005). doi: 10.1364/ao.44.005206