On the Semblance Based TDOA Algorithm for Sound Source Localization: a parametric study
Guilherme Seidyo Imai Aldeia, Henrique Ferreira, Kenji Nose Filho

DOI: 10.14209/SBRT.2020.1570644634
Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)
Keywords: semblance parametric analysis parameter optimization TDOA
Recently proposed, the Semblance Based TDOA Algorithm for Sound Source Localization uses a cross-correlation function to determine the direction of a sound source. This article aims to perform a parametric analysis of the algorithm, applying a hypothesis test to determine the importance of each parameter. The results show that, regarding the three original parameters of the algorithm, one presented small sensitivity and can be discarded, and the remaining can be defined based on the desired resolution level, or fixed at low values (at cost of a slower runtime).