一种基于相位平均的旋转声源高分辨率定位方法

Here, a high-resolution localization method of rotating sound source based on phase average was proposed, and the applicable conditions of phase average technology were given. To solve rotating blur caused by Doppler effect, a rotating sound signal was divided into enough time series slices. In each slice, a rotating sound source with small displacement was approximately equivalent to a static sound source for positioning. The advantage was the interpolation calculation of de-Doppler effect being avoided and the phase continuity of time domain waveform being preserved. Furthermore, to improve the positioning resolution, the energy transmission model based on beamforming was modified with the convolution model, and the deconvolution algorithm was used to eliminate positioning ambiguity and improve positioning accuracy. The advantage was the point spread function (PSF) in convolution model being able to establish the connection between array measurement and sound source rotating. Thus, PSF was used to characterize the positioning performance of microphone array and analyze effects of frequency on positioning resolution. Finally, the effectiveness and robustness of the proposed method were verified using simulation, rotating monopole experiments and fan tests.