Hybrid micro-motion features from radar maps, new descriptors MWR and CCF, lightweight CNN, and XGBoost classifier outperform alternatives in simulations for distinguishing ships from corner-reflector jamming.
An XGBoost-based method for improved orbit prediction with an orbit-separate modeling strategy,
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Corner Reflector Array Jamming Discrimination Using Multi-Dimensional Micro-Motion Features with Frequency Agile Radar
Hybrid micro-motion features from radar maps, new descriptors MWR and CCF, lightweight CNN, and XGBoost classifier outperform alternatives in simulations for distinguishing ships from corner-reflector jamming.