2017 14th Workshop on Positioning, Navigation and Communications (WPNC) 2017
DOI: 10.1109/wpnc.2017.8250051
|View full text |Cite
|
Sign up to set email alerts
|

Anchorless underwater acoustic localization

Abstract: We consider the problem of estimating the trajectory of a submerged source emitting acoustic signals without using any anchor nodes or receiving array. This approach is required for several applications, including the localization of acoustic sources such as marine mammals or underwater vehicles, for which the cost of covering a broad area with multiple receivers would be excessively high. Since multi-lateration is impossible in this scenario, we perform localization by incorporating bathymetry information. Sp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
21
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 9 publications
(21 citation statements)
references
References 18 publications
0
21
0
Order By: Relevance
“…Note that, if the training is performed with real data, with the WSN deployed, the training would also bring the advantage of adaptability because the localization DNN will learn to locate implicitly using the concrete geometry of the zone. This is an advantage that anchorless methods such as [9] also have, with the important difference that we do not need to map the sea region since the localization DNN will infer that by itself during the training phase, considerably reducing the computational load.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that, if the training is performed with real data, with the WSN deployed, the training would also bring the advantage of adaptability because the localization DNN will learn to locate implicitly using the concrete geometry of the zone. This is an advantage that anchorless methods such as [9] also have, with the important difference that we do not need to map the sea region since the localization DNN will infer that by itself during the training phase, considerably reducing the computational load.…”
Section: Resultsmentioning
confidence: 99%
“…One solution to this problem is the use of self-localization algorithms [8]. Another solution is the use of an anchor-less localization mechanism that relies on fingerprinting [9], but this method needs to model the environment. Active messaging means that the sensors, as well as the target to locate, communicate among them in order to obtain the localization, which means having an increase in battery consumption and having a cooperative target.…”
Section: Introductionmentioning
confidence: 99%
“…Those receivers should be deployed in the underwater bottom to cover a wide area to ensure the target detection and localization, which is not useful in a real scenario. While most of the proposed localization schemes require the use of anchor nodes to estimate the position of a submerged acoustic source [91], authors in [92] proposed an anchorless localization method. In their work, the CIR of the received signal is modeled for multiple possible locations using bathymetry information.…”
Section: Localization In Uwsnsmentioning
confidence: 99%
“…The best CIR model location that fits with the measured one is kept in a set of possible node locations; then a trellis form is created from this set to obtain the final source trajectory estimation using a path tracking process similar to the Viterbi algorithm. Instead of accurate sensor node localization, authors in [92] aim to reduce the energy consumption and computational complexity of the localization scheme through reducing the communication between nodes. As the later cited work [92], the scheme presented in [93] is anchor-free.…”
Section: Localization In Uwsnsmentioning
confidence: 99%
See 1 more Smart Citation