Akademik Veri Yönetim Sistemi
TRAITEMENT DU SIGNAL, cilt.42, sa.5, ss.2949-2959, 2025 (SCI-Expanded)
Defense needs of countries are increasing due to developing technologies. RADAR and SONAR systems used in military and civil applications are effective for detecting objects in specific areas. These systems broadcast radio or sound waves at various frequencies and wavelengths and determine object positions and sizes from reflected signals. However, such diffusion reveals the source's location, especially in military use, making it a target for guided munitions with passive radar. In contrast, locating subsonic objects via Sound Source Localization (SSL) enables their detection without becoming the target, offering strategic defense value. This paper introduces a novel method based on geometric analysis for estimating the position of a stationary sound source. Artificial Neural Networks (ANNs) were employed to benchmark the performance of the proposed localization approach. Both the proposed method and the ANN model were evaluated using experimental data collected in an indoor environment. The experiments were conducted in a realistic domestic acoustic environment, where acoustic signals were recorded using three electret microphones and a National Instruments data acquisition system. The performance of both methods was assessed using multiple evaluation metrics. Experimental results demonstrate that the proposed approach outperforms the ANN model, offering a more accurate and reliable solution for SSL.