Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach

arXiv:2402.17987v1 Announce Type: cross
Abstract: Radar Automated Target Recognition (RATR) for Unmanned Aerial Vehicles (UAVs) involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition on the received radar echo, crucial for defense and aerospace applications. Previous studies highlighted the advantages of multistatic radar configurations over monostatic ones in RATR. However, fusion methods in multistatic radar configurations often suboptimally combine classification vectors from individual radars probabilistically. To address this, we propose a fully Bayesian RATR framework employing Optimal Bayesian Fusion …

abstract advantages aerial aerospace applications arxiv automated bayesian cs.cv cs.lg defense echo eess.sp fusion math.pr radar recognition stat.ml studies type unmanned aerial vehicles vehicles