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Noise Performance Optimization of a Fast Wavelength Calibration Algorithm for OSAs
Authors: Thomas Fuhrmann
Abstract:A new fast correlation algorithm for calibrating the wavelength of Optical Spectrum Analyzers (OSAs) was introduced in . The minima of acetylene gas spectra were measured and correlated with saved theoretical data . So it is possible to find the correct wavelength calibration data using a noisy reference spectrum. First tests showed good algorithmic performance for gas line spectra with high noise. In this article extensive performance tests were made to validate the noise resistance of this algorithm. The filter and correlation parameters of the algorithm were optimized for improved noise performance. With these parameters the performance of this wavelength calibration was simulated to predict the resulting wavelength error in real OSA systems. Long term simulations were made to evaluate the performance of the algorithm over the lifetime of a real OSA.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334972Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 934
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