Title :
Superior LMS-based technique for white-light interferometric systems
Author :
Romare, D. ; Rizk, M. Sabry ; Grattan, K.T.V. ; Palmer, A.W.
Author_Institution :
Dept. of Electr. Electron. & Inf. Eng., City Univ., London, UK
Abstract :
An adaptive finite-impulse-response filter which combines prediction and smoothing is recursively updated using the least-mean-square algorithm, and is used to cancel the corrupting noise and detect the position of the maximum intensity in the output of a white-light interferometric system. Computer simulations have verified the superiority of this approach over the more widely used linear predictor.
Keywords :
adaptive filters; least mean squares methods; light interferometers; optical filters; optical noise; LMS-based technique; adaptive finite-impulse-response filter; computer simulations; corrupting noise; least-mean-square algorithm; linear predictor; maximum intensity; white-light interferometric systems; Adaptive filters; Charge coupled devices; Least squares approximation; Light sources; Noise cancellation; Optical fiber sensors; Optical interferometry; Photonics; Signal to noise ratio; Smoothing methods;
Journal_Title :
Photonics Technology Letters, IEEE
