Study on Passive Acoustic Orienting System Based on Line Array of Microphone

Article Preview

Abstract:

The drawbacks of active object orienting system which is difficult to guarantee the concealment and security are obvious. Hence, the passive object orienting system becomes the research focus. Based on line array of microphone, the passive acoustic orienting system collects and records acoustic signals. The acoustic signals are processed by Conventional Beamforming (CBF) algorithm. The hardware of system is proved to be effective in the sound acquisition experiments. The results of acoustic orienting experiments are given, which shows that the error of acoustic orienting is less than 1%. The system which implements acoustic orienting and has a high accuracy is the base of the latter research in the laboratory.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4417-4421

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J.J. Leonard, A.A. Bennett, C.M. Smith, third ed., Autonomous underwater vehicle navigation, Massachusetts Institute of Technology, MIT Marine Robotics Laboratory Technical Memorandum, 1998, 98-1.

Google Scholar

[2] B.D. Wang, The nature of bistatic and multistatic radar, Radar, 2001 CIE International Confer- ence on, Proceedings, 2001, pp.882-884.

DOI: 10.1109/icr.2001.984852

Google Scholar

[3] P.J. Miehael, C. Kyriakakis, Analysis of source localization in reverberant environments[J], IEEE, 2006, pp.672-676.

Google Scholar

[4] R. Visser, Acoustic Source Localization based on Pressure and Particle Velocity Measurements, IEEE International Conference on Acoustics, Speech and Signal Processing. (2003).

Google Scholar

[5] J. Benesty, J.D. Chen, Y.T. Huang, Microphone Array Signal Processing, Springer, Berlin, (2008).

Google Scholar

[6] Trifa, V.M. Koene, A. Moren, J. Cheng, Real-time acoustic source localization in noisy environments for human-robot multimodal, Robot and Human interactive Communication, 2007, pp.393-398.

DOI: 10.1109/roman.2007.4415116

Google Scholar