Acoustic Imaging Optimization Method Based on Cyclic Wiener Filter
Regarding the difficulty,caused by background noises,for the reconstruction of cyclostationary sources in noisy environ-ments,based on the cyclic wiener filter,combined with Bayesian near-field acoustic holography technology,an improvement meth-od for acoustic imaging was proposed.The sound pressure of the signal radiated by the sound source was measured by the micro-phone array in the near field of the sound source,and the measurement was denoised by the cyclic wiener filter to realize the blind extraction of the cyclostationary signal,the spatial distribution of the cyclostationary source was reconstructed within the further combined with the Bayesian near-field acoustic holography framework.First,the effectiveness of the blind signal extraction algo-rithm was assessed through simulation analysis.Then,the feasibility of the acoustic imaging optimization method was further veri-fied by carrying out sound source reconstruction experiments.
Cyclostationary SourceCyclic Wiener FilterBayesian Near-Field Acoustic HolographyMicrophone ArraysBlind Signal Extraction
万方数据
维普
