Estimating 3D-Position of A Stationary Random Acoustic Source Using Bispectral Analysis of 4-Point Detected Signals
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Estimating 3D-Position of A Stationary Random Acoustic Source Using Bispectral Analysis of 4-Point Detected Signals

Authors: Katsumi Hirata

Abstract:

To develop the useful acoustic environmental recognition system, the method of estimating 3D-position of a stationary random acoustic source using bispectral analysis of 4-point detected signals is proposed. The method uses information about amplitude attenuation and propagation delay extracted from amplitude ratios and angles of auto- and cross-bispectra of the detected signals. It is expected that using bispectral analysis affects less influence of Gaussian noises than using conventional power spectral one. In this paper, the basic principle of the method is mentioned first, and its validity and features are considered from results of the fundamental experiments assumed ideal circumstances.

Keywords: 4-point detection, a stationary random acoustic source, auto- and cross-bispectra, estimation of 3D-position.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1093378

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1386

References:


[1] M. Shen and H. Liu, "A Modified Cross Power-Spectrum Phase Method Based on Microphone Array for Acoustic Source Localization,” Proceedings of the 2009 IEEE International Conference on Systems, Man, Cybernetics, 2009, pp.1286-1291.
[2] H. Umezu and K. Suyama, "Multiple Sound Source Localization based on Local Existence Property of Speech Signal,” World Academy of Science, Engineering and Technology, Vol.60, 2011, pp.491-494.
[3] A. Kumar and M. Pal, "Acoustic Source Localisation System using Microphone Arrays,” International Journal of Advanced Research in Computer Science and Software Engineering, Vol.2, 2012, pp.82-88.
[4] K. Hirata and K. Sasaki, "3D-Localization Method of A Stationary Random Acoustic Source in Near-Field by Multi-Point Detectors and Its Experimental Evaluation,” Transaction of SICE of Japan, Vol. 36, No. 6, 2000, pp. 467-472.
[5] T. Sato, K. Sasaki, and M. Taketani, "Bispectral Passive Velocimeter of A Moving Noisy Machine,” Journal of the Acoustical Society of America, Vol.68, No.6, 1980, pp.1729-1735.
[6] C. L. Nikias and A. P. Petropulu, Higher-Order Spectra Analysis: A nonlinear Signal Processing Framework, Prentice Hall, 1993, pp.124-132.