Estimation of Noise Immission Directivity using Small Microphone Array
* Presenting author
Environmental noise monitoring systems extensively use digital signal processing to perform computation and storage of noise levels, spectral filtering, narrowband spectral analysis, evaluation of statistical indices, wave recordings, detection of noise events based on thresholds, and other similar tasks. Increase in processing power can be exploited for development of advanced apparatus, capable of multichannel processing on hand held devices, as for example beamforming. A research has been undertaken to upgrade and implement beamforming for developing three new measurement options for environmental noise monitoring systems; 1) automatic exclusion of uncorrelated noise events from measurements, 2) automatic identification of the dominant noise source location and 3) automatic classification of observed noise event. Implementation of these three features can reduce need for human resources, resulting in reduced costs and more accurate results. Presented technical solution provides a synergy between these three options, implemented in an apparatus, which provides reliable results.