Real-time dynamic absolute ranging with frequency scanning interferometry using a robust Monte-Carlo-based particle filter.

A particle-filter-based data processing for a frequency-scanning interferometry system for dynamic long absolute ranging is presented in this paper. Because the particle filter is not restricted by linearity or noise Gaussianity requirements, the proposed system achieves high robustness and accuracy levels when tracking dynamic objects at long standoff distances. We experimentally demonstrate that the proposed system exhibits a standard deviation below 6 μm for a quasi-static target, and superior tracking performance for a vibrating target with vibration amplitude exceeding 10 μm and frequencies of 1-5 Hz at a 15 m standoff distance.

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