Monte Carlo simulations identify the combination of spectral band selection, temporal persistence filtering, and adaptive noise-floor tracking as necessary and sufficient for 100% event detection with zero false positives in noisy IoT mesh networks.
Radar CFAR thres holding in clutter and multiple target situations
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Edge Triggering in IoT Mesh Networks: A Comparative Monte Carlo Study of Seven Detection Algorithms
Monte Carlo simulations identify the combination of spectral band selection, temporal persistence filtering, and adaptive noise-floor tracking as necessary and sufficient for 100% event detection with zero false positives in noisy IoT mesh networks.