The aim of the thesis is to develop a radio-frequency receiver based on compressive sensing and evaluate its interest with respect to performance enhancement and/or power consumption reduction in a context of multi-standard applications.
Most relevant signals can be compressed: our smartphones are filled with photos taken with cameras of several million pixels, which, after compression occupy only a few thousand bytes. We can wonder what is the interest to get so much large amount of information if only a small part of it is interesting ? The sparse sampling is proposed to answer the question by trying to directly extract the relevant information. The problem is fully transferable to radiofrequency receiver at the core of our mobile radio equipment used dailys. This is called “”analog converter to information”” rather than “”analog to digital converter”” to the extent that it seeks to convert the useful rather than the raw signal itself information. From mathematical point of view the principle consists in achieving the correlation of the useful signal with several reference signals and to collect only the result of this correlation. However in the field of radio frequency signals lot’s of work remains to be done to determine how to achieve optimal correlation and what are these famous reference signals?
The candidate should have a strong background in mathematics and signal processing. On the other hand background in electronics field is mandatory in order to understand the implementation aspect of the proposed solution.
To complete the project the candidate will set up a system simulation platform demonstrating the principles and implementation of the proposed solution. A feasibility study will be conducted to evaluate the potential of this new solution.
This position is open until it is filled.
Department: Département Architectures Conception et Logiciels Embarqués (LIST-LETI)
Laboratory: Laboratoire Architectures Intégrées Radiofréquences
Start Date: 01-10-2015
ECA Code: SL-DRT-15-0336
Contact: michael.pelissier<στο>cea.fr