Antenna array synthesis and compressed sensing
Thesis in external company
External reference persons M. Righero (Istituto Superiore Mario Boella)
Thesis type MASTER THESIS
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.
(2) 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 publications
(3) M. 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, 2012
See also http://www.ismb.it/en/node/2238
Required skills - MS students in Telecommunication Engineering, Electronic Engineering, Computer Science, Applied Mathematics or equivalent
- Familiarity with basic topics of functional analysis, linear algebra, signal processing
- Experience with main programming languages (Matlab/Fortran/C/C++)
Notes Expected duration: 6 months.
The thesis will be developed at Istituto Superiore Mario Boella, Antenna and EMC Lab.
Deadline 03/01/2020 PROPONI LA TUA CANDIDATURA