Arbitrary Trajectory Estimation of a Moving Acoustic Source

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SA. GU. Pelluri, and TH. V.. Sreenivas, "Arbitrary Trajectory Estimation of a Moving Acoustic Source," Paper 9266, (2015 May.). doi:
SA. GU. Pelluri, and TH. V.. Sreenivas, "Arbitrary Trajectory Estimation of a Moving Acoustic Source," Paper 9266, (2015 May.). doi:
Abstract: The state-of-the-art passive methods for estimating the trajectory of a moving acoustic source involve computing the cross-correlation function either directly or indirectly (as in the case of the Beam Forming Approach) between pairs of microphones. Also there have been several Active Acoustic techniques such as SONAR, RADAR, etc., which have been used to estimate the source parameters such as velocity, trajectory, etc. They involve pinging the source with a known signal. In this paper, given the fact that the moving source itself generates a signal, we propose a technique by which we estimate the source trajectory using only the signal captured at the receiver thereby avoiding the need to ping the source and without computing the cross-correlation function.

@article{pelluri2015arbitrary,
author={pelluri, sai gunaranjan and sreenivas, thippur v.},
journal={journal of the audio engineering society},
title={arbitrary trajectory estimation of a moving acoustic source},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{pelluri2015arbitrary,
author={pelluri, sai gunaranjan and sreenivas, thippur v.},
journal={journal of the audio engineering society},
title={arbitrary trajectory estimation of a moving acoustic source},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={the state-of-the-art passive methods for estimating the trajectory of a moving acoustic source involve computing the cross-correlation function either directly or indirectly (as in the case of the beam forming approach) between pairs of microphones. also there have been several active acoustic techniques such as sonar, radar, etc., which have been used to estimate the source parameters such as velocity, trajectory, etc. they involve pinging the source with a known signal. in this paper, given the fact that the moving source itself generates a signal, we propose a technique by which we estimate the source trajectory using only the signal captured at the receiver thereby avoiding the need to ping the source and without computing the cross-correlation function.},}

TY - paper
TI - Arbitrary Trajectory Estimation of a Moving Acoustic Source
SP -
EP -
AU - Pelluri, Sai Gunaranjan
AU - Sreenivas, Thippur V.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
TY - paper
TI - Arbitrary Trajectory Estimation of a Moving Acoustic Source
SP -
EP -
AU - Pelluri, Sai Gunaranjan
AU - Sreenivas, Thippur V.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - The state-of-the-art passive methods for estimating the trajectory of a moving acoustic source involve computing the cross-correlation function either directly or indirectly (as in the case of the Beam Forming Approach) between pairs of microphones. Also there have been several Active Acoustic techniques such as SONAR, RADAR, etc., which have been used to estimate the source parameters such as velocity, trajectory, etc. They involve pinging the source with a known signal. In this paper, given the fact that the moving source itself generates a signal, we propose a technique by which we estimate the source trajectory using only the signal captured at the receiver thereby avoiding the need to ping the source and without computing the cross-correlation function.

The state-of-the-art passive methods for estimating the trajectory of a moving acoustic source involve computing the cross-correlation function either directly or indirectly (as in the case of the Beam Forming Approach) between pairs of microphones. Also there have been several Active Acoustic techniques such as SONAR, RADAR, etc., which have been used to estimate the source parameters such as velocity, trajectory, etc. They involve pinging the source with a known signal. In this paper, given the fact that the moving source itself generates a signal, we propose a technique by which we estimate the source trajectory using only the signal captured at the receiver thereby avoiding the need to ping the source and without computing the cross-correlation function.

Authors:
Pelluri, Sai Gunaranjan; Sreenivas, Thippur V.
Affiliation:
Indian Institute of Science, Bangalore, India
AES Convention:
138 (May 2015)
Paper Number:
9266
Publication Date:
May 6, 2015Import into BibTeX
Subject:
Audio Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17690