Research on location performance of three-dimensional beamforming sound source based on cross spectrum method
In recent years,acoustic microphone array and its related signal processing technology have been widely used in sound source localization.Among them,the beamforming-based acoustic imaging method(BBAI)can realize the three-dimensional imaging of the noise source on the two-dimensional planar array,and identify the depth of the noise source.However,based on the planar microphone array,it is objectively found that the pseudosound source appears exactly similar in the depth direction of the array.In addition,there are obvious problems of large mainlobe width and low spatial resolution(especially in the depth direction)in three-dimensional sound source imaging based on traditional beamforming algorithm.In this paper,two beamforming-based acoustic imaging algorithms beamforming-based acoustic imaging method based cross spectrum method(CSM-B),and error function based cross spectrum method(CSM-EF)combined with cross spectrum method are proposed based on BBAI,and the performance of CSM-B and CSM-EF in mainlobe width and total running time is compared by three-dimensional cone shape array(CSA)and two-dimensional slice wheel array(SWA).The three algorithms are evaluated theo-retically by testing the monopole sound source and experimentally in a full anechoic chamber.The results show that compared with the two-dimensional slice wheel array,the three-dimensional cone shape array can effectively reduce the width of the main lobe,especially in the specific depth range of the sound source.In addition,from the per-spective of the three algorithms,CSM-EF can effectively solve the problem of sound source location with large main-lobe width and large number of side lobes at the cost of large calculation time,and provide the best three-dimen-sional sound source imaging map with the best effect.
acousticsarray signal processingsound source localizationmicrophone arrayCSM-BCSM-EF
万方数据
维普
