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Different Metrics for Singular Value Optimization in Near-Field Antenna Characterization.

Amedeo Capozzoli¹, Claudio Curcio¹, Angelo Liseno¹

¹Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Universitá di Napoli Federico II, via Claudio 21, 80125 Napoli, Italy.

Sensors (Basel, Switzerland)

|April 3, 2021

Summary

Singular Value Optimization (SVO) for antenna characterization effectively uses Shannon number, mutual information, and Fisher information metrics. These different information measures show similar performance in extracting maximum electromagnetic field data.

Keywords:

antenna characterization fisher information mutual information near-field/far-field transformations shannon number singular value optimization

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Area of Science:

Electromagnetics and Antenna Theory
Information Theory Applied to Physics

Background:

Near-field antenna characterization is crucial for understanding electromagnetic field behavior.
Singular Value Optimization (SVO) is a technique to maximize information extraction from field samples.
A priori information about the source, such as support, is essential for SVO.

Purpose of the Study:

To compare the performance of different information measures within the SVO framework.
To evaluate Shannon number, mutual information, and Fisher information for near-field antenna characterization.
To determine the optimal objective functional for SVO in this context.

Main Methods:

Implementing the Singular Value Optimization (SVO) technique.
Utilizing various objective functionals representing different information measures: Shannon number, mutual information, and Fisher information.
Analyzing the singular value dynamics of the radiation operator to optimize field sample positions.

Main Results:

All tested information measures (Shannon number, mutual information, Fisher information) demonstrated comparable performance within the SVO framework.
The choice of objective functional did not significantly impact the information extraction efficiency.
Numerical results confirmed the effectiveness of SVO for near-field antenna characterization.

Conclusions:

Different information measures yield similar performance when applied within the Singular Value Optimization technique for antenna characterization.
The SVO framework is robust concerning the selection of specific information metrics.
This study validates the utility of SVO for maximizing electromagnetic field information extraction.