Paper
22 June 2015 Evaluation of interference fringe parameters using sequential Monte Carlo method
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Abstract
The paper deals with the sequential Monte Carlo method applied to the problem of interferometric signals parameters evaluation. A stochastic model of interferometric signal formation is presented. Detailed description of the algorithm is given. The sequential Monte Carlo method modification based on the assumption of Gaussian posterior probability density function of parameters is proposed. The peculiarities of the algorithm and its modification are considered and discussed. The results of parameters evaluation are presented. Data processing rate of proposed methods is estimated and analyzed.
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Petr A. Ermolaev, Maxim A. Volynsky, and Pavel A. Skakov "Evaluation of interference fringe parameters using sequential Monte Carlo method", Proc. SPIE 9525, Optical Measurement Systems for Industrial Inspection IX, 952533 (22 June 2015); https://doi.org/10.1117/12.2184578
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KEYWORDS
Interferometry

Particle filters

Signal processing

Data processing

Interference (communication)

Error analysis

Nonlinear filtering

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