Application of Sound Source Localization Algorithm for Urban Noise Source Monitoring
In-Jee Jung, S.S. Jung, Wan‐Ho Cho, Byoung‐Kuk Lee, T. Park · 2024
Urban noise is an important social issue because it is a major factor that reduces the quality of human life.Recently, the noise level in the urban area has been increasing due to changing the social climate and emerging new mobility systems.Therefore, many countries try to control and reduce urban noise in many ways.In this study, sound source localization algorithms are applied to estimate the position of a moving noise source.To this end, the simulation is conducted with modeling of the moving source.The localization results through TDoA, beamforming, and sound intensimetry are compared for a point source passing through the road.The localization error and latency are analyzed for different sampling rates and array sizes.One can find that beamforming is most affected by the sampling frequency, and it can be observed that the sampling rate is inversely proportional to the accuracy in general.Sound intensimetry has higher accuracy than other algorithms when the array size is small.TDoA has the lowest latency, so it is advantageous for realtime estimation.The test result shows that it is necessary to apply an appropriate localization algorithm according to the system configuration to conduct urban noise source monitoring.