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Continuously Optimizing Radar Placement with Model Predictive Path Integrals
Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications.
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
To address this, we propose a fully Bayesian RATR framework employing Optimal Bayesian Fusion (OBF) to aggregate classification probability vectors from multiple radars.
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