
PhD Thesis on Optical Fiber Sensing
- Massy, Essonne
- CDI
- Temps-plein
- Digital signal processing algorithms
- Basic physics of optical fiber propagation
- Basics in acoustic signals detection/classification
- Experimental skills
- Building a general model of frequency dependent phase noise for ultra-low linewidth laser sources. Quantification of impact on the noise floor of our sensing system as a function of the dominant frequency bands of the source phase noise. Optimisation of the phase noise control loop of laser sources at low frequencies.
- Deconvolution of linear effects generated by the MIMO sensing setup: optimisation of algorithms. Estimation of the gain on the sensing system noise floor.
- Investigation through simulation and experimental traces of polarisation changes observed at a fiber location when subject to high intensity mechanical perturbations. Search for the most suitable space to characterize the perturbations.
- Time-frequency analysis of captured perturbations through alternatives to short-time Fourier transform, mainly wavelet decomposition. Building of a library of discriminating patterns. First classification tests.
- Candidates must hold a Master of Science or Engineering diploma (M2) in the field of communication theory or any related field.
- Skills in modeling, digital signal processing.
- Matlab (preferable), C or Python (alternatively), VHDL or Verilog (appreciated).
- Experimental skills to build an optical testbed and validate the model (preferable).
- Strong written and spoken communications skills and the ability to participate in robust discussions in English (mandatory).
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