Dynamic analysis of the signals in optical coherent tomography by the method of nonlinear Kalman filtering

This paper discusses stochastic models of inhomogeneous media and a method of nonlinear Kalman filtering that provides increased resolving power when processing actual low-coherence interference signals obtained in systems of optical coherent tomography. A method is proposed for the dynamic estimation of the positions of the local maxima of the signal envelope while scanning over the depth of the sample, making it possible to increase the resolution of the maxima of partially overlapping peaks by comparison with the classical criteria. The model results are presented along with experimental results obtained when studying a test sample of biological tissue.