TY  - RPRT
ID  - elediasc12879
A1  - SALUCCI, Marco
A1  - ANSELMI, Nicola
A1  - MASSA, Andrea
N2  - A new method based on Bayesian Compressive Sensing (BCS) is presented to enhance near-field (NF) antenna characterization. The method exploits the probablistic sparsity and incorporates prior knowledge of the antenna under test (AUT) to construct an overcomplete representation basis. The performance of the proposed method is analysed as a comparative fashion with Orthogonal Matching Persuit (OMP).
TI  - Compressive Sensing Techniques for Enhanced Near Field Antenna Evaluation
PB  - ELEDIA Research Center - University of Trento
AV  - public
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.
Y1  - 2024/04/05/
M1  - technical_report
UR  - http://www.eledia.org/students-reports/879/
ER  -