By Pawel Strumillo
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Additional info for Advances in Sound Localization
D. & Silverman, H. F. (2008). A linear closed-form algorithm for source localization from time-differences of arrival, IEEE Signal Processing Letters 15: 1–4. Schau & Robinson, A. (1987). Passive source localization employing intersecting spherical surfaces from time–or–arrival differences, IEEE Trans. , Speech, Signal Processing ASSP–35: 1223–1225. , Benesty, J. & Elko, G. W. (2000). Passive acoustic source localization for video camera steering, ICASSP ’00: Proceedings of the Acoustics, Speech, and Signal Processing, 2000.
J. (2001). Signal processing considerations for a general class of directional acoustic sensors, Proc. of the Workshop of Directional Acoustic Sensors, Newport, RI. Van Veen, B. D. & Buckley, K. M. (1988). Beamforming: a versatile approach to spatial filtering, IEEE ASSP Magazine, Vol. 5, No. 2, pp. 4-24. 38 Advances in Sound Localization Wong, K. T. & Zoltowski, M. D. (1999). Root-MUSIC-based azimuth-elevation angle-ofarrival estimation with uniformly spaced but arbitrarily oriented velocity hydrophones, IEEE Trans.
Of radius √4 . They position the lower microphones at 1m over the ﬂoor. The source height 3 is coincident with the height of the centre receptor. 6% of the radius. Positioning of the receptors is checked with a theodolite Model Wild-Leica-T2 of 1 second precision. Fig. 14. Error computed for three gun shots at each source location. Notice that all of them are within the prescribed bound of 8%. For each position the experiment is repeated six times. Figure 14 shows the results. It can be seen that the relative error remains within the 5% level, which is one third of the upper bound forecasted of 17%.
Advances in Sound Localization by Pawel Strumillo
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