2006Applied AcousticsRequires access

Wideband source localization using distributed acoustic vector sensors

Xin Chen

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Abstract

This paper provides two passive methods for source localization based on acoustic vector sensor. Generally, the localization of a target requires the estimation of direction of arrival (DOA) or the estimation of time difference of arrival (TDOA). The estimation of DOA can be realized by using an acoustic vector sensor, while the calculation of the cross-correlation function for several such sensors can give TDOA information. This paper at first introduces the method applying DOA information. Then it derives a novel method for source localization, which uses the combination of DOA and TDOA from distributed acoustic vector sensors. The simulation results of the performance of the two methods are presented.

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What this paper is about

This paper provides two passive methods for source localization based on acoustic vector sensor. Generally, the localization of a target requires the estimation of direction of arrival (DOA) or the estimation of time difference of arrival (TDOA). The estimation of DOA can be realized by using an acoustic vector sensor, while the calculation of the cross-correlation function for several such sensors can give TDOA information. This paper at first introduces the method applying DOA information. Then it derives a novel method for source localization, which uses the combination of DOA and TDOA from distributed acoustic vector sensors. The simulation results of the performance of the two methods are presented.

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Available abstract

This paper provides two passive methods for source localization based on acoustic vector sensor. Generally, the localization of a target requires the estimation of direction of arrival (DOA) or the estimation of time difference of arrival (TDOA). The estimation of DOA can be realized by using an acoustic vector sensor, while the calculation of the cross-correlation function for several such sensors can give TDOA information. This paper at first introduces the method applying DOA information. Then it derives a novel method for source localization, which uses the combination of DOA and TDOA from distributed acoustic vector sensors. The simulation results of the performance of the two methods are presented.

Key concepts: Multilateration, Direction of arrival, Acoustic source localization, Computer science, Wideband, Acoustics, Acoustic sensor, Algorithm

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