694 research outputs found
Sound Source Localization in a Multipath Environment Using Convolutional Neural Networks
The propagation of sound in a shallow water environment is characterized by
boundary reflections from the sea surface and sea floor. These reflections
result in multiple (indirect) sound propagation paths, which can degrade the
performance of passive sound source localization methods. This paper proposes
the use of convolutional neural networks (CNNs) for the localization of sources
of broadband acoustic radiated noise (such as motor vessels) in shallow water
multipath environments. It is shown that CNNs operating on cepstrogram and
generalized cross-correlogram inputs are able to more reliably estimate the
instantaneous range and bearing of transiting motor vessels when the source
localization performance of conventional passive ranging methods is degraded.
The ensuing improvement in source localization performance is demonstrated
using real data collected during an at-sea experiment.Comment: 5 pages, 5 figures, Final draft of paper submitted to 2018 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP)
15-20 April 2018 in Calgary, Alberta, Canada. arXiv admin note: text overlap
with arXiv:1612.0350
The significance of passive acoustic array-configurations on sperm whale range estimation when using the hyperbolic algorithm
In cetacean monitoring for population estimation, behavioural studies or mitigation,
traditional visual observations are being augmented by the use of Passive Acoustic
Monitoring (PAM) techniques that use the creature’s vocalisations for localisation.
The design of hydrophone configurations is evaluated for sperm whale (Physeter
macrocephalus) range estimation to meet the requirements of the current mitigation
regulations for a safety zone and behaviour research.
This thesis uses the Time Difference of Arrival (TDOA) of cetacean vocalisations with a
three-dimensional hyperbolic localisation algorithm. A MATLAB simulator has been
developed to model array-configurations and to assess their performance in source
range estimation for both homogeneous and non-homogeneous sound speed profiles
(SSP). The non-homogeneous medium is modelled on a Bellhop ray trace model, using
data collected from the Gulf of Mexico. The sperm whale clicks are chosen as an
exemplar of a distinctive underwater sound.
The simulator is tested with a separate synthetic source generator which produced a set
of TDOAs from a known source location. The performance in source range estimation
for Square, Trapezium, Triangular, Shifted-pair and Y-shape geometries is tested. The
Y-shape geometry, with four elements and aperture-length of 120m, is the most
accurate, giving an error of ±10m over slant ranges of 500m in a homogeneous medium,
and 300m in a non-homogeneous medium. However, for towed array deployments, the
Y-shape array is sensitive to angle-positioning-error when the geometry is seriously
distorted. The Shifted-pair geometry overcomes these limits, performing an initial
accuracy of ±30m when the vessel either moves in a straight line or turns to port or
starboard. It constitutes a recommendable array-configuration for towed array
deployments.
The thesis demonstrates that the number of receivers, the array-geometry and the arrayaperture
are important parameters to consider when designing and deploying a
hydrophone array. It is shown that certain array-configurations can significantly
improve the accuracy of source range estimation. Recommendations are made
concerning preferred array-configurations for use with PAM systems
A Survey of Positioning Systems Using Visible LED Lights
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.As Global Positioning System (GPS) cannot provide satisfying performance in indoor environments, indoor positioning technology, which utilizes indoor wireless signals instead of GPS signals, has grown rapidly in recent years. Meanwhile, visible light communication (VLC) using light devices such as light emitting diodes (LEDs) has been deemed to be a promising candidate in the heterogeneous wireless networks that may collaborate with radio frequencies (RF) wireless networks. In particular, light-fidelity has a great potential for deployment in future indoor environments because of its high throughput and security advantages. This paper provides a comprehensive study of a novel positioning technology based on visible white LED lights, which has attracted much attention from both academia and industry. The essential characteristics and principles of this system are deeply discussed, and relevant positioning algorithms and designs are classified and elaborated. This paper undertakes a thorough investigation into current LED-based indoor positioning systems and compares their performance through many aspects, such as test environment, accuracy, and cost. It presents indoor hybrid positioning systems among VLC and other systems (e.g., inertial sensors and RF systems). We also review and classify outdoor VLC positioning applications for the first time. Finally, this paper surveys major advances as well as open issues, challenges, and future research directions in VLC positioning systems.Peer reviewe
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