On the accuracy of passive multipath-aided underwater range estimation

OCEANS 2019 - Marseille

2019

Self Cite

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.

Section: Discussionmentioning

confidence: 99%

“…Yet, instead of considering multipath as a distortion, the wealth of multipath arrivals can be exploited in passive systems in order to improve the localization accuracy, as well as to find the range of the acoustic source [1] or to localize it with multiple receivers through a propagation model [52].…”

Section: Techniques For Underwater Acoustic Localizationmentioning

confidence: 99%

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

OCEANS 2019 - Marseille

2019

Self Cite

“…11 Still, ToA measurements tend to be noisy due to multipath: mistaking a non-specular multipath component for the direct path is often regarded as measurement noise, 12 and can be mitigated by transmitting signals having a narrow auto-correlation, 13,14 or by averaging ToA measurements over different signals. 15 Yet, instead of considering multipath as a distortion, the wealth of multipath arrivals can be exploited in passive systems in order to improve the localization accuracy, as well as to find the range of the acoustic source 16 or to localize it with multiple receivers through a propagation model. 17 In the literature, the closest approaches to our proposed scheme target localization with less than three reference nodes, often by exploiting some form of knowledge about the environment.…”

Section: A Techniques For Underwater Acoustic Localizationmentioning

confidence: 99%

Bathymetry-aided underwater acoustic localization using a single passive receiver

The Journal of the Acoustical Society of America

Diamant

2019

Self Cite

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

“…However the accuracy of AoA estimation is directly dependent on the number of hydrophones and on the array size, which might be an issue for some applications. In many cases, USBL systems are complemented by means to measure the SSP, and thus improve the accuracy of range estimation by accounting for the refractive properties of the underwater channel [8].…”

Section: Related Workmentioning

confidence: 99%

“…The transmission of acoustic signals under water is typically subject to significant multipath distortion. The wealth of multipath arrivals that results can be exploited in passive systems in order to improve the localization accuracy [8], or to localize the source with multiple receivers through an acoustic propagation model [9]. Model-based range-bearing localization with two anchor nodes was introduced and evaluated by [10].…”

Section: Related Workmentioning

confidence: 99%

Anchorless underwater acoustic localization

Diamant

2017 14th Workshop on Positioning, Navigation and Communications (WPNC)

2017

Self Cite

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. Specifically, we assume that the receiver retains knowledge of the environmental parameters that affect the signal propagation, and that the bathymetry of the area is sufficiently diverse to induce distinguishable channel impulse responses for different source locations. Our method compares the channel estimates obtained from the received acoustic signals against a database of channel responses, pre-computed through an acoustic ray tracing model. The set of possible node locations that result are then organized in trellis form to obtain a final estimate of the source's trajectory via a path tracking method similar to the Viterbi algorithm. Our results show that the proposed approach can estimate node locations and paths with very small error, provided that the receiver has sufficiently accurate and up-todate environmental information.