Sound source identification utilizing beamforming technology represents a critical testing methodology in aero-acoustic wind tunnels.The threedimensional beamforming algorithm,developed through modifications to the st...Sound source identification utilizing beamforming technology represents a critical testing methodology in aero-acoustic wind tunnels.The threedimensional beamforming algorithm,developed through modifications to the steering vector of conventional twodimensional beamforming,demonstrates enhanced capabilities for spatial sound source identification and proves particularly suitable for multi-array configurations.This research examines the influential parameters of threedimensional beamforming algorithms,specifically investigating sound source frequency,array quantity,microphone count,and testing distance.Results indicate that increasing source frequency or array number enhances spatial resolution while reducing dynamic range.Conversely,increasing microphone quantity or decreasing testing distance improves both spatial resolution and dynamic range.This comprehensive analysis of influence parameters in three-dimensional beamforming algorithms provides valuable insights for optimizing parameter combinations to achieve superior sound source identification outcomes.展开更多
文摘Sound source identification utilizing beamforming technology represents a critical testing methodology in aero-acoustic wind tunnels.The threedimensional beamforming algorithm,developed through modifications to the steering vector of conventional twodimensional beamforming,demonstrates enhanced capabilities for spatial sound source identification and proves particularly suitable for multi-array configurations.This research examines the influential parameters of threedimensional beamforming algorithms,specifically investigating sound source frequency,array quantity,microphone count,and testing distance.Results indicate that increasing source frequency or array number enhances spatial resolution while reducing dynamic range.Conversely,increasing microphone quantity or decreasing testing distance improves both spatial resolution and dynamic range.This comprehensive analysis of influence parameters in three-dimensional beamforming algorithms provides valuable insights for optimizing parameter combinations to achieve superior sound source identification outcomes.
