Underwater Localization and Tracking of Physical Systems

Carroll, Patrick; Zhou, Shengli; Zhou, Hao; Xu, Xiaoka; Cui, Jun-Hong; Willett, Peter

doi:10.1155/2012/683919

Cited by 23 publications

(12 citation statements)

References 24 publications

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“…The receiving antenna array with nine electrodes are located in the experiment model, which are listed in Table 2. The low frequency sinusoidal current excitation of 100 Hz is loaded on the dipole with the dipole moment p = [2, 1,1]. The data samples used in this experiment model are N = 100.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…In the last decades, the acoustic based locating method has played a main role in underwater localization [1,2]. However, the complexity and uncertain characteristics of underwater environments, such as the varying temperature and density, multi-path propagation, Doppler effect, and propagation delay, seriously influence the acoustic propagation and underwater channel [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment

Xue

et al. 2017

Symmetry

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A novel localization method based on multiple signal classification (MUSIC) algorithm is proposed for positioning an electric dipole source in a confined underwater environment by using electric dipole-receiving antenna array. In this method, the boundary element method (BEM) is introduced to analyze the boundary of the confined region by use of a matrix equation. The voltage of each dipole pair is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields based localization method, which can be easily implemented in practical engineering applications. Then, a global-multiple region-conjugate gradient (CG) hybrid search method is used to reduce the computation burden and to improve the operation speed. Two localization simulation models and a physical experiment are conducted. Both the simulation results and physical experiment result provide accurate positioning performance, with the help to verify the effectiveness of the proposed localization method in underwater environments.

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Section: Numerical Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment

Xue

et al. 2017

Symmetry

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“…With the timing o↵set eliminated, and assuming that our noises are zero-mean additive Gaussian, the ML estimator for the position would be (similar to [6]):…”

Section: Tdoa Based Localizationmentioning

confidence: 99%

“…In order to provide context for the e↵ects of the Doppler speed estimate, we will compare the results with the tracking algorithms similar to what we developed for TDOA systems in [6]. All filter parameters (namely process noise) are the same where applicable to provide a more valid comparison.…”

Section: Simulationsmentioning

confidence: 99%

Localization of Mobile Nodes in an Underwater Distributed Antenna System

Carroll

Domrese

Zhou³

et al. 2014

Proceedings of the International Conference on Underwater Networks %Systems - WUWNET '14

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In this short paper, we look at a real-world implementation of an algorithm to enhance localization of a moving object in an underwater distributed antenna system. We utilize OFDM modems which are capable of estimating the Doppler shift of a message when it is received and combine this with a time-di↵erence-of-arrival (TDOA) estimate. This combination serves to both enhance the position estimate and provide an accurate estimate of the velocity of the mobile network element, thus providing a full-state point estimate. A Kalman Filter (KF) is implemented to compare the accuracy of the full-state and position-only estimates. Basic simulations show that the full-state estimate provides an improvement, and this is verified using data from several pool tests.

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“…Other methods have been developed from a network perspective, working largely to extend the multilateration technique to cover large areas or exploit the broadcast nature of wireless transmissions to reduce the communication overhead [16,17,18]. In our previous work, we had developed a system that used scheduled periodic broadcasts from timesynchronized anchors [19] and another system with asynchronous anchors that can react to a localization demand [20].…”

Section: Introductionmentioning

confidence: 99%

Doppler-aided localization of mobile nodes in an underwater distributed antenna system

Carroll

Domrese

Zhou

et al. 2016

Physical Communication

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In this paper, we consider a problem of localizing a moving object in the context of an underwater distributed antenna system. All the distributed nodes record the time-of-arrivals of a single message from the moving object and obtain the Doppler speed estimates used in the decoding process. Conventional methods have relied only on the time-of-arrival measurements to obtain position estimates, on top of which filtering methods can be further applied for tracking purposes. In this work, we explore the usefulness of Doppler speed information. The combination of time-of-arrival measurements and Doppler speed estimates associated with a single message enhances the accuracy of position estimation and provides an estimate of the velocity of the mobile object. A Kalman Filter (KF) and a Probabilistic Data Association Filter (PDAF) are further implemented processing the point estimates. Simulations show that the proposed Doppler-aided methods improve both the point estimation and tracking filter performance, which is verified using data from pool tests.

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Underwater Localization and Tracking of Physical Systems

Cited by 23 publications

References 24 publications

Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment

Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment

Localization of Mobile Nodes in an Underwater Distributed Antenna System

Doppler-aided localization of mobile nodes in an underwater distributed antenna system

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