High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness

This document is an arXiv eess_sp feed (multiple new submissions) covering recent advances in RF/wireless signal processing, antenna and array systems, datasets, neural simulators and ML for design, channel estimation, and related algorithms. Key highlights: (1) HRRP classification benefits from explicit aspect-angle conditioning (≈7% average accuracy gain; angle estimation via a causal Kalman filter with median error ≈5° preserves gains). (2) Alpha-RF: a neural electromagnetic simulator plus reinforcement learning that speeds simulations from ~4 minutes to <100 ms and enables automated RF‑fil