Title :
A novel algorithm for wideband acoustic sources localization using multiple spherical arrays
Author :
Fangzhou Wang ; Xi Pan
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Fuze Dynamic Characteristics, Beijing Inst. of Technol., Beijing, China
Abstract :
A novel algorithm based on spherical harmonic analysis using multiple spherical arrays is proposed to localize wideband acoustic sources. In the novel spherical harmonic algorithm, the received microphone signals are firstly used to do the spherical Fourier transform. Then, the MUSIC algorithm is applied to the spherical components to obtain the angularspectrum. Finally, the angular-spectrum smoothing technique is initially proposed to obtain the accuracy localization for wideband sources. In contrast to the traditional single spherical array the multiple spherical arrays used in this paper consist of several randomly distributed spheres in a given plane. The microphones are uniformly placed on each sphere, the same as the usual single spherical array. Simulation comparison of wideband sources localization between single spherical array and multiple spherical array based on the novel algorithm is carried out to evaluate the validity of our method.
Keywords :
Fourier transforms; acoustic signal processing; array signal processing; harmonic analysis; microphone arrays; signal classification; smoothing methods; MUSIC algorithm; angular-spectrum smoothing technique; multiple-spherical arrays; received microphone signals; single-spherical array; spherical Fourier transform; spherical components; spherical harmonic algorithm; spherical harmonic analysis; wideband acoustic source localization; wideband source localization accuracy; Acoustics; Algorithm design and analysis; Arrays; Wideband; Multiple spherical array; spherical harmonic analysis; wideband source localization;
Conference_Titel :
Signal Processing and Information Technology(ISSPIT), 2013 IEEE International Symposium on
Conference_Location :
Athens
DOI :
10.1109/ISSPIT.2013.6781888