提出了一种基于相位平均的旋转声源高分辨率定位方法，并给出了相位平均技术所适用的条件。为解决多普勒效应导致的旋转模糊，将旋转声信号划分成足够多个时间序列切片，在每一切片内，微小位移的旋转声源可近似等效为静止声源进行定位。其优势在于，避免了去多普勒效应的插值运算，从而保留了时域波形的相位连续性。为提高定位分辨率，运用卷积模型改造基于波束形成的能量传播模型，利用解卷积算法消除定位模糊和提高定位精度。其优势在于，卷积模型中的点扩散函数(PSF)能够建立起阵列测量与声源旋转的联系，由此通过PSF来表征麦克风阵列定位性能、分析频率对定位分辨率的影响。通过仿真信号、旋转单极子试验、风扇试验验证了方法的有效性和鲁棒性。
Abstract
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.
关键词
相位平均 /
旋转声源定位 /
多普勒效应 /
解卷积 /
点扩散函数
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Key words
phase average /
rotating sound source localization /
Doppler effect /
deconvolution /
point spread function (PSF)
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