Localization of Multiple Narrowband Acoustic Sources in Spherical Harmonic Domain
This paper presents a new method for the localization of multiple narrowband acoustic sources using spherical microphone arrays. The space-time array signal model is transformed into spherical harmonic domain by spherical Fourier transform (SFT). Then subspace decomposition technique is used to obtain signal and noise subspace in the domain. Relying on the recursive relationship of spherical harmonics, signal subspace can possess the displacement invariances which could be used to estimate both the azimuth and elevation angles of acoustic sources impinging on spherical arrays. Simulations demonstrated that this algorithm has a high accuracy of estimating multiple acoustic sources with low computational complexity. Moreover, spherical microphone arrays have the advantage of spherical symmetrical structure, facilitating 3-D direction-ofarrival (DOA) estimation, which is superior to uniform circular arrays (UCA).
spherical microphone arrays spherical harmonics direction-of-arrival estimation source localization
Tao Song Qinghua Huang
Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai University, Shanghai, 200072, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
2445-2448
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）