TY  - RPRT
Y1  - 2024///
UR  - http://www.eledia.org/students-reports/885/
TI  - A Sparsity Approach for Near-Field Antenna Characterization with Truncation Error
N2  - A novel sparsity-based approach for near field antenna characterization is studied in the presence of truncation error. In particular, Bayesian Compressive Sensing (BCS) is employed which exploits the probabilistic sparsity and incorporates prior knowledge of the antenna under test (AUT) to construct an over complete representation basis. A set of numerical analysis is performed to verify the performance of the proposed method. In addition, the performance of BCS is compared with Orthogonal Matching Pursuit (OMP).
M1  - technical_report
A1  - SALUCCI, Marco
A1  - ANSELMI, Nicola
A1  - MASSA, Andrea
ID  - elediasc12885
PB  - ELEDIA Research Center - University of Trento
KW  - Antenna measurements
KW  -  antenna qualification
KW  -  compressive sensing
KW  -  near-field pattern estimation
KW  -  near-field to far-field transformation
KW  -  sparsity retrieval
KW  -  truncation error.
AV  - public
ER  -