Stage-/Afstudeeropdracht -WO - Elektrotechniek, Toegepaste Wiskunde, Technische Natuurkunde. Information-based Processing in Radar and Communications: Compressive Sensing and Information Geometry

Job description

About us

Thales Nederland is active in the Defence (Hengelo) and Security (Huizen) sectors and is, with about 2000 employees, a top provider of high-tech jobs. Product innovation and swift anticipation of the newest technological possibilities are the mainsprings of our business. Examples are radar, communication and command & control systems for naval ships and communication, security and payment systems for trade and industry. Thales Nederland is part of the Thales Group, which has a workforce of 62.000 in more than 50 countries making it one of Europe's largest electronics companies.

Compressive Sensing (CS) is a recent paradigm in sensing (since 2004) that works with a reduced number of measurements for a comparable sensing result. It is based on the incoherence of the sensing and sparsity of the processing results. Its major parts are: compressive acquisition and sparse-signal processing. Most promising benefits of CS in radar are resolution and multi-target analysis. Other specific issues in applying CS in radar or communications are: sparse sensing (i.e. design of waveforms and antenna arrays), noise and clutter, grid design and match, real-time implementation, etc.
Information geometry (IG) raises a new approach to stochastic signal processing (since the eighties) as its main principle is that many important structures in the stochastic signal processing can be treated as structures in differential geometry. Most promising benefits of IG have been found in resolution bounds and parameter estimation.
The importance of information in data is stressed in both fields as the useful dimension of signals is much smaller than the data dimensionality. Accordingly, conventional processing can be improved if the demands of data acquisition and signal processing are optimized to the information content (which links it also to the information theory ).CS and IG can also be used in development and understanding of deep learning , especially in the stochastic analysis of the underlying processing layers.

The assignment


Information-based Processing in Radar and Communications: Compressive Sensing and Information Geometry

Thales NL proposes an internship project whose aim is to investigate applicability of the information-based processing with emphasis on practical issues in signal processing (SP). Simulated data are to be used to demonstrate the applicability in realistic cases.
Proposed project planning :
• selecting a practical issue and its SP application(s) of interest
• studying IG with emphasis on information specific for (radar/comms) measurements,
• studying CS, radar measurements and their SP,
• (theoretically) investigating the practical link(s) between IG, CS and the application;
• implementing the IG-CS analysis for particular measurements in MATLAB,
• testing and evaluating the IG-CS applicability with simulated data, and• reporting the IG-CS applicability in the radar/comms SP in a report.

Affinity

• Strong background in signal processing and geometry;
• Experience in MATLAB;• Good verbal and written communication skills in English

Interested?

You can apply through the application button below ‘online solliciteren'. Please add your motivation letter and C.V.

Please keep in mind that we can only consider students who are enrolled at a school during the whole internship period for our internships and graduation assignments.