Internship offer: Variational Bayes phase tracking (ISAE-SUPAERO, Toulouse)
12 Novembre 2021
Catégorie : Stagiaire
Location: ISAE-SUPAERO, 10 avenue Édouard Belin, 31400 Toulouse.
Duration: 5-6 months beginning ca. February-April 2022.
Gratification: 3.9€/hour cf.service-public.fr
In many fields of engineering, estimating the carrier phase of a signal plays a major role. For instance, for GNSS (Global Navigation Satellite Systems) the phase allows for a precise positioning.
The research groupComIThas recently designed an algorithm to track the phase of a signal while using a so-called variational Bayes (VB) approximation injected in the optimal Bayes filtering problem [1–3]. Performance is very encouraging ; particularly the VB algorithm is highly robust to cycle slips (an estimation error of a multiple of 2π) compared to concurrent methods.
In this internship, we want to investigate some extensions to the VB algorithm to address a wider range of practical scenarios.
The main stages are:
- 2.Reproducing results from [1,2];
- 3.Extending the VB algorithm (several possibilities to discuss with the advisor) and comparison with conventional techniques (e.g., Kalman filter) ;
- 4.Writting the manuscript.
The intern will frequently meet with the advisor and report his/her progress via short technical reports. If time and results allow, writing a scientific paper (conference, letter, etc.) will be encouraged.
- Final year degree student (Master of Science, Master of Research)
- Fields: statistical signal processing (including estimation batch and/or recursive)
- Quality: motivation and rigorousness
- Main tools: Matlab,LATEX
If this research topic is of interest to you, please send a resume, a letter of motivation and your academic transcript to Stéphanie Bidon,<email@example.com>.
Fabio Fabozzi, Stéphanie Bidon, and Stébastien Roche. Robust estimation of high-order phase dynamics using variational bayes inference. InProceedings IEEE InternationalConference on Acoustics, Speech and Signal Processing (ICASSP), virtual, 2021.
Fabio Fabozzi, Stéphanie Bidon, Sébastien Roche, and Benoît Priot. Robust gnss phase tracking in case of slow dynamics using variational Bayes inference. InProceedings IEEE/IONPosition, Location and Navigation Symposium (PLANS), pages 1189–1195, Portland, OR, 2020.
V. Smídl and A. Quinn. Variational Bayes filtering.IEEE Transactions on SignalProcessing, 56(10):5020–5030, October 2008.