Investigation of Peak Detection Algorithms for Fiber Bragg Grating Interrogation based Sensing Systems for Temperature, Depth and Salinity Measurements

Abstract Fiber Bragg Grating (FBG) sensors are now one of the prominent and emerging technologies in in the field of optical sensing technology and are used for measurement of strain, depth, temperature and many other applications. This paper reviews the accuracy and stability parameters of four conventional peak seeking algorithms. These algorithms are used in for calculating the peak Bragg wavelength for three different scenarios in which the reflection spectrum of FBG sensors are calculated in our case we consider temperature at 25 C, depth at 6 cm and salinity at 25 PSU. The performance of each of the algorithms i.e., centroid method, Gaussian fitting, polynomial fitting and spline fitting are compared for the above parameters for the actual spectrum and the noisy spectrum on the basis of accuracy and stability and the results are reviewed..