Assessment of Aircraft Detectability Using Global Optimization Techniques for Identifying Flyover Events in Low-Noise Region
Anh Si Ðoàn Sĩ Anh (TU Delft - Aerospace Engineering)
M. Snellen – Mentor (TU Delft - Aerospace Engineering)
A.S. Jayanthi – Mentor (TU Delft - Aerospace Engineering)
A.M. Morin – Mentor (TU Delft - Aerospace Engineering)
A. Amiri Simkooei – Mentor (TU Delft - Aerospace Engineering)
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Abstract
Current aircraft noise monitoring terminals often fail to detect aircraft in low-noise regions, where background noise levels are comparable to aircraft noise contributions. This thesis investigates Global Optimization (GO) using a 64-microphone array as an alternative to threshold-based detection and examines how the measured noise levels compare to ECAC Doc. 29 under these conditions. Localization was found most reliable between 100–1000 Hz, though elevation-angle estimates remained unreliable at low elevations. Newer and quieter aircraft types showed a significantly lower detection range compared to older and larger aircraft types during takeoff, while landings were consistently harder to detect. Comparison with ECAC Doc. 29 predictions showed reasonable agreement between 3500–5000 m for several aircraft types but underprediction beyond 6000 m, likely due to background noise in the measurements. Results suggest that GO-based methods can improve detection where aircraft might go undetected by current NMTs.