Functional beamforming

compressive sensing beamforming

and orthogonal beamforming in advanced beamforming have not been widely used in rotating sound source localization. The applications of three above advanced beamforming in rotating sound source localization were studied

and compared with conventional rotating beamforming and deconvolution approach in terms of the spatial resolution

dynamic range and source power integration for the mapping of acoustic sources (DAMAS). The simulation and experiment results showed that the three advanced beamforming can be applied to the rotating sound source localization successfully

and also can significantly improve the spatial resolution and dynamic range of the rotating sound source with higher computation efficiency. The functional beamforming had a lower spatial resolution than DAMAS in the low frequency band and was prone to high source power integration error. The performance of compressive sensing beamforming was closest to DAMAS

and the spatial resolution in the low frequency band was better than DAMAS. Orthogonal beamforming was prone to generate sound source localization position error within the low frequency range

the ability of anti-interference was weak

and source power integration was lower than DAMAS.