Adaptive selective sidelobe canceller beamformer with applications in radio astronomy

TL;DR

This paper introduces an adaptive sidelobe canceller beamformer algorithm that enhances resolution and accuracy in radio astronomy imaging, especially in the presence of strong interference sources.

Contribution

The paper presents a novel adaptive beamforming algorithm tailored for radio astronomy, improving interference suppression and image resolution over existing methods.

Findings

Higher resolution imaging achieved.

More accurate parameter estimation in interference-rich environments.

Effective suppression of terrestrial and confusing sources.

Abstract

We propose a new algorithm, for parameter estimation that is applicable to imaging using moving and synthetic aperture arrays. The new method results in higher resolution and more accurate estimation than commonly used methods when strong interfering sources are present inside and outside the field of view (terrestrial interference, confusing sources).