A speculative DL classifier validated by GLRT on spatially robust second-order statistics provides adversarially resilient array processing.
Two decades of array signal processing research: the parametric approach,
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A signal-strength DOA method that explicitly models missed detections via known thresholds yields higher accuracy than phase-based or detection-ignoring baselines in both simulation and BLE experiments.
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A Speculative GLRT-Backed ApproachRobust Deep Learning-Based Array Processing
A speculative DL classifier validated by GLRT on spatially robust second-order statistics provides adversarially resilient array processing.
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Utilizing Missed Detections in Directional Sensitivity-Based DOA Estimation
A signal-strength DOA method that explicitly models missed detections via known thresholds yields higher accuracy than phase-based or detection-ignoring baselines in both simulation and BLE experiments.