Monte Carlo evaluation shows TSNFA detector achieves 99.97-100% detection rate, 100% precision, and zero false-positive clusters per node while classical CFAR and CUSUM variants each fail on at least one performance dimension under Cortex-M0+ constraints.
Range resolution of targets using automatic detectors,
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Restoring CFAR Validity for Single-Channel IoT Sensor Streams: A Monte Carlo Comparison of Five Detectors under Cortex-M0+ Constraints
Monte Carlo evaluation shows TSNFA detector achieves 99.97-100% detection rate, 100% precision, and zero false-positive clusters per node while classical CFAR and CUSUM variants each fail on at least one performance dimension under Cortex-M0+ constraints.