TY  - RPRT
N2  - The potentialities of Bayesian Compressive Sensing (BCS) for near field antenna characterization is studied extensively. In particular, a set of numerical test scenario subject to truncation error is analyzed in the framework of CS. Moreover, the performance of BCS is analyzed as a comparative fashion with Orthogonal Matching Pursuit (OMP).
M1  - technical_report
UR  - http://www.eledia.org/students-reports/884/
Y1  - 2024///
TI  - Unlocking Potential with Compressive Sensing towards Near Field Antenna Measurement
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.
PB  - ELEDIA Research Center - University of Trento
AV  - public
ID  - elediasc12884
A1  - SALUCCI, Marco
A1  - ANSELMI, Nicola
A1  - MASSA, Andrea
ER  -