Localisation And Imaging Methods for Moving Target Ghost Imaging Radar Based On Correlation Intensity Weighting

TL;DR

This paper introduces a novel correlation intensity weighting method for localizing and imaging moving targets in ghost imaging radar, improving image quality and target detection in dynamic scenarios.

Contribution

It proposes a new localization and tracking approach that compensates for target motion, enhancing ghost imaging radar performance with simulation validation.

Findings

Effective target localization and imaging demonstrated in simulations.

Improved image quality for moving targets.

Robustness against target motion effects.

Abstract

Ghost imaging radar is a new system of gaze imaging radar with high detection sensitivity, super-resolution and better anti-interference performance, but the relative motion between the radar system and the target will make the target imaging deteriorate. This paper proposes to perform absolute position localisation of a single target in the field of view by weighting the correlation strength of a single frame image of rough target, and to compensate translation of the reference arm speckle according to the localisation and tracking trajectory to accumulate the rough image into a high quality image. The proposed correlation intensity weighted localization and tracking imaging method has been verified by simulation to be able to locate and image targets in the field of view well.