Accurate and Fast Numerical Estimation of Pattern Uncertainty for Mechanical Alignment Errors in High-Accuracy...

Area of Science:

• Electromagnetics
• Metrology
• Antenna Theory

Background:

• Experimental measurements inherently possess uncertainties due to various error sources.
• Accurate uncertainty estimation is crucial for high-accuracy spherical near-field antenna measurements.
• Mechanical alignment errors significantly impact antenna pattern uncertainty and traditional estimation is resource-intensive.

Purpose of the Study:

• To develop a time-efficient numerical method for estimating pattern uncertainty caused by mechanical alignment errors.
• To eliminate the need for separate, time-consuming uncertainty measurements.
• To enable the isolation of individual mechanical alignment error contributions.

Main Methods:

• A nominal full-sphere measurement is utilized as the basis for numerical uncertainty estimation.
• The proposed method avoids the requirement for separate uncertainty measurement campaigns.
• The technique allows for the deconvolution of individual error source impacts.

Main Results:

• A novel numerical approach for pattern uncertainty estimation in antenna measurements is presented.
• The method significantly reduces the time and resources required for uncertainty analysis.
• Individual contributions of mechanical alignment errors to overall pattern uncertainty can be quantified.

Conclusions:

• Numerical uncertainty estimation offers a more efficient alternative to traditional experimental methods for mechanical alignment errors.
• This approach streamlines the uncertainty assessment process in antenna metrology.
• The ability to isolate error sources enhances understanding and facilitates targeted improvements.