Underwater ultra-wideband fingerprinting-based sparse localization

Shakeri, Siavash; Leus, Geert

doi:10.1109/spawc.2014.6941333

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Specifically, the proposed approach employs CS (implemented through the basis pursuit algorithm and the Lasso path) to find the best matching between field replicas and measurements, and shows that CS reliably handles coherent sources as well. Earlier, CS was considered to localize an underwater device by means of ultrawideband radio CIR fingerprinting [72]. Here, CS is implemented using the orthogonal matching pursuit and Lasso-II algorithms.…”

Section: Techniques For Underwater Acoustic Localizationmentioning

confidence: 99%

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Dubrovinskaya

Casari

2019

OCEANS 2019 - Marseille

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Casari knows no boundaries. He believed in me to allow me to work independently while providing all the possible support and was by my side when needed. His high standards both in research and communication have become my constant beacon in my personal and professional growth. His assistance in every aspect of research work was absolutely invaluable.Another thank you should definitely go to my tutor Prof. Albert Banchs Roca for all his help with the paperwork from the very first days of my Ph.D. I would also like to say thanks to Dr. Ivor Nissen for his introduction to the world of underwater acoustic localization research, and for always keeping an eye on my progress. I am grateful to Dr. Diamant for welcoming and hosting me at Haifa University and enduring me during numerous sea trials. All the field experience I got during my trips to Israel is still one of the most unforgettable go through during my Ph.D.Furthermore, I would like to say many thanks to Dr. Konstantin Kebkal and Evologics GmbH colleagues for hosting me at their premises in Berlin and for all the invaluable help in organizing lab and field experiments. Special thanks to Veronika Kebkal who pushed everyone to make it possible (and fun!) Also, I would like to thank Dr. Fraser Dalgleish who hosted me at Florida Atlantic University and for sharing experimental data even after I left.A huge bunch of thanks goes to all my colleagues at IMDEA Networks for all the coffee break talks, dinner drinks, board games battles, and barbeque parties. Special thanks go to the "ground-floor" team for all the evening gossip times and fun we had.Last but not least thank you goes to my wonderful family. Thanks to my parents for teaching me to value knowledge and for giving me everything I need. And the most important thanks -to my husband Sergey Samodov, who was solving all my life problems, listened to my nagging during the hardest days saying, "this too shall pass", waiting for me to come back. I couldn't have done this journey without you.

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Section: Techniques For Underwater Acoustic Localizationmentioning

confidence: 99%

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Dubrovinskaya

Casari

2019

OCEANS 2019 - Marseille

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“…Earlier, CS was considered to localize an underwater device by means of ultra-wideband radio CIR fingerprinting. 22 Here, CS is implemented using the orthogonal matching pursuit and Lasso-II algorithms. Although the method achieves good localization accuracy, it remains suitable only for very short ranges due to the strong attenuation of radio frequency waves in salted waters.…”

Section: A Techniques For Underwater Acoustic Localizationmentioning

confidence: 99%

Bathymetry-aided underwater acoustic localization using a single passive receiver

Dubrovinskaya

Casari

Diamant

2019

The Journal of the Acoustical Society of America

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This paper considers the problem of estimating the trajectory of an autonomous underwater vehicle (AUV) via a single passive receiver, without any anchor nodes or receiving arrays, and with the only help of a sequence of known acoustic signals emitted by the AUV. This scenario is of interest in case multilateration-based alternatives would require the deployment of many receivers and imply exceedingly high costs, e.g., for the coverage of wide areas. The proposed method exploits the knowledge of environmental parameters such as the sound speed profile, bathymetry and bottom sediments in order to estimate the location of the AUV, taking advantage of the spatial dependency of channel impulse responses that arises from the diverse bathymetry around the receiver. This dependency is captured by comparing channel estimates against a database of channel responses, pre-computed through an acoustic propagation model. This yields multiple likely AUV locations, which are filtered via a path tracking method similar to the Viterbi algorithm, in order to estimate the trajectory of the AUV. Results obtained both from simulations and from a sea experiment show that the proposed method can estimate node locations and paths with a small error, especially considering the use of a single receiver. V

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“…Fingerprinting or scene analysis allows the estimation of a position by matching online measured data with pre-measured location-related data (i.e., power samples) [ 11 , 12 ]. Typically, two phases comprise a fingerprinting algorithm, i.e., (i) offline and (ii) online phase.…”

Section: Introductionmentioning

confidence: 99%

On the Noise Effect of Fingerprinting-Based Positioning Error in Underwater Visible Light Networks

Hammouda¹,

Vegni

Loscrì

2021

Sensors

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This paper assesses the performance of a localization technique for underwater visible light networks. The proposed approach is based on a fingerprinting technique, collecting the channel impulse responses from different wireless optical signals in the visible range. A local database related to the power level distribution within a maritime environment is built and exploited to estimate user position, e.g., a diver moving in a given space for underwater fish monitoring. In this paper, we investigate on the noise effect on the localization accuracy in underwater scenarios and for different water turbidity coefficient and we demonstrate that the estimation error suffers on variable channel impulse responses. Different configuration parameters and environmental scenarios have been considered, showing that the LED transmitter deployment can be effective in the localization estimation. A comparison of the proposed localization approach to the traditional triangulation method has been finally carried out, showing the effectiveness of the fingerprinting-based solution for a lower number of LED transmitters.

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Underwater ultra-wideband fingerprinting-based sparse localization

Cited by 3 publications

References 9 publications

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Bathymetry-aided underwater acoustic localization using a single passive receiver

On the Noise Effect of Fingerprinting-Based Positioning Error in Underwater Visible Light Networks

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