Matrix information geometry-based track-before-detect algorithm for radar extended targets

Le résumé fourni par la source

This paper addresses the challenge of effectively detecting weak extended targets in clutter environments. Traditional energy-based Track-Before-Detect (TBD) algorithms are susceptible to clutter dominance, resulting in degraded detection performance. Although existing information geometric methods enhance clutter suppression, they remain insufficient in effectively integrating features of extended targets, thereby constraining the overall detection performance. To address this issue, this paper proposes an information geometry-based TBD algorithm for extended targets. The proposed method extracts extended target features and suppresses clutter within single frame and enhances weak target detection through multi-frame accumulation. The effectiveness of the proposed method is validated through both simulated data and real radar sea-clutter data from the dataset published in the Journal of Radars.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.