Acoustic Source Localization under Variable Speed of Sound Conditions

Rabenstein, Rudolf; Annibale, Paolo

doi:10.1155/2017/9524943

Cited by 11 publications

(11 citation statements)

References 59 publications

(92 reference statements)

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“…The elements of

on the main diagonal are equal to zero and the elements in the upper triangle are equivalent to that in the lower triangle (

). Therefore, the

TDOA measurements in the lower triangle are sufficient to determine the TDOA matrix [ 36 ]. These TDOA measurements are defined as the complete TDOA set, as shown in the bold type in matrix (1).…”

Section: Methodsmentioning

confidence: 99%

A Closed-Form Method of Acoustic Emission Source Location for Velocity-Free System Using Complete TDOA Measurements

Zhou

Rui

Cai

et al. 2020

Sensors

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A closed-form method of acoustic emission (AE) source location for a velocity-free system using complete time difference of arrival (TDOA) measurements is proposed in this paper. First, this method established the governing equation of unknown acoustic velocity for each sensor; then, the governing equations of each of the three sensors were transformed into a linear equation, which can form a system of linear equations with the complete TDOA measurements. Third, the least squares solutions of the AE source coordinate and acoustic velocity were separately solved by an orthogonal projection operator. The proposed method was verified by the pencil-lead break experiment, and the results showed that the location accuracy and stability of the proposed method were better than those of traditional methods. Moreover, a simulation test was carried out to investigate the influence of noise scales on the location accuracy, and the results further prove that the proposed method holds higher noise immunity than the traditional methods.

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“…The elements of

on the main diagonal are equal to zero and the elements in the upper triangle are equivalent to that in the lower triangle (

). Therefore, the

Section: Methodsmentioning

confidence: 99%

A Closed-Form Method of Acoustic Emission Source Location for Velocity-Free System Using Complete TDOA Measurements

Zhou

Rui

Cai

et al. 2020

Sensors

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show abstract

“…Based on conventional methods : Localization of a stationary source based on continuous time estimation, 5,6 vision-based localization, 7 angle of arrival information, 8 bearing angle measurements, 9 time difference of arrival measurements, 10 gradient-based computation, 11 radio frequency (RF)-based geolocation techniques, 12 maximum likelihood algorithm, 13 acoustic source localization in the presence of Echo, 14 under variable speed of sound conditions, 15 and error bounds for localization with noise diversity 16 have been described.…”

Section: Introductionmentioning

confidence: 99%

Multi-unmanned aerial vehicle multi acoustic source localization

Manickam

Swar

Casbeer

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper addresses a multisource localization problem with multiple unmanned aerial vehicles equipped with appropriate sensors coordinating with each other, wherein the sources are simultaneously emitting identical acoustic signals. Distributed coordinated localization algorithms based on multiple range and direction measurements are presented and performances are evaluated in different practically significant mission scenarios. Non-deterministic polynomial (NP) hardness to determine optimal number of unmanned aerial vehicles for a given mission scenario is discussed. Group coordination, tactical path, and goal replan strategies to enable efficient localization of single and multiple acoustic sources have been designed. The localization algorithm along with coordination strategy is verified in the presence of realistic error conditions through simulation.

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“…In the underwater environment, the signal propagation speed, the transmitter and receiver positions may not be known accurately [23], [24]. The errors appearing in the parameters need to be taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

Multistatic Sonar Localization With a Transmitter

2019

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This paper focuses on the problem of multistatic sonar localization with a transmitter where the known signal transmission speed, the transmitter and receiver positions are all contaminated by Gaussian noise. The Cramér-Rao lower bound (CRLB) are derived for the object position and the localization parameters. The analysis in CRLB shows that the localization parameters have a chance to be updated to more accurate ones. Two solutions are then proposed to estimate the object position using the time measurements and angle measurements. One is a two-step closed-form solution based on weighting least squares and the other is a generalized trust region subproblem (GTRS) solution using Newton's method. A recursive MLE is also proposed to update the localization parameters and a more accurate propagation speed can be obtained from the proposed MLE especially when the propagation speed noise is large. Simulations show that the two localization solutions and the propagation speed updated from the proposed MLE can reach their CRLBs.

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Acoustic Source Localization under Variable Speed of Sound Conditions

Cited by 11 publications

References 59 publications

A Closed-Form Method of Acoustic Emission Source Location for Velocity-Free System Using Complete TDOA Measurements

A Closed-Form Method of Acoustic Emission Source Location for Velocity-Free System Using Complete TDOA Measurements

Multi-unmanned aerial vehicle multi acoustic source localization

Multistatic Sonar Localization With a Transmitter

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