antenna array synthesis thesis

Thesis Type: Master Thesis for Telecommunication/Electronic Engineering, Computer Science, Mathematics or equivalentResearch Area: ACERequirements:MS students in Telecommunication Engineering, Electronic Engineering, Computer Science, Applied Mathematics or equivalentFamiliarity with basic topics of functional analysis, linear algebra, signal processingExperience with main programming languages (Matlab/Fortran/C/C++)Description: Compressed sensing, developed in harmonic analysis and signal processing, aims at reconstructing a signal sampled at a frequency lower than the one of the Shannon-Nyquist theorem, when information about the sparsity of the signal is known (1). The framework has been recently used also to address problems of antenna array design (2). The thesis will explore this connection in the depth, in particular investigating the possibility of using Discrete Prolate Spheroidal Sequences(3) to approximate the desired pattern.References: J. L. A. Quijano, M. Righero and G. Vecchi, ‘Spase 2D array placement for arbitrary pattern mask and with excitation constraints: a simple deterministic approach’, accepted for publicationsM. A. Davenport and M. B. Wakin, ‘Compressive sensing of analog signals using Discrete Prolate Spheroidal Sequences’, Applied and Computational Harmonic Analysis, vol. 33, n. 3, pages 438 – 472, 2012rContacts: Send CV to recruiting@ismb.it specifying the thesis code.