A vector sensing scheme for underwater acoustics based on particle velocity measurements

Chandrika, Unnikrishnan Kuttan; Vishnu, Hari

doi:10.23919/oceans.2015.7404533

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Notably, most wideband algorithms [105] work with predefined array shapes, or are limited to 2D, to specific signals, or to a known number of targets [107]. In some cases, the preferred solution is to directly employ particle velocity sensors [108][109][110].…”

Section: Underwater Localization Via Wideband Direction-of-arrival Estimation Using Acoustic Arrays Of Arbitrary Shapementioning

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: Underwater Localization Via Wideband Direction-of-arrival Estimation Using Acoustic Arrays Of Arbitrary Shapementioning

confidence: 99%

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Dubrovinskaya

Casari

2019

OCEANS 2019 - Marseille

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“…Since sound waves are compressed waves under small acoustic disturbance, the variation of sound pressure, temperature, velocity, and density caused by the sound field can be treated as perturbation compared to the steady-state medium. Besides, for the case of no medium flow, the fluid velocity equals the particle vibration velocity, and the hydrodynamic equations [ 37 ] can be simplified as shown in Equation (1):

where

is the background density,

and

are fluctuations in pressure and velocity over the background values, respectively. Since the thermal conductivity of the medium and the temperature gradients of the disturbance are small enough that no appreciable thermal energy transfer occurs between adjacent medium elements, the adiabatic process can be assumed.…”

Section: Theory and Simulationmentioning

confidence: 99%

Design and Optimization of Sensitivity Enhancement Package for MEMS-Based Thermal Acoustic Particle Velocity Sensor

Chang

Yang

Zhu

et al. 2021

Sensors

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In this paper, small-sized acoustic horns, the sensitivity enhancement package for the MEMS-based thermal acoustic particle velocity sensor, have been designed and optimized. Four kinds of acoustic horns, including tube horn, double cone horn, double paradox horn, and exponential horn, were analyzed through numerical calculation. Considering both the amplification factor and effective length of amplification zone, a small-sized double cone horn with middle tube is designed and further optimized. A three-wire thermal acoustic particle velocity sensor was fabricated and packaged in the 3D printed double cone tube (DCT) horn. Experiment results show that an amplification factor of 6.63 at 600 Hz and 6.93 at 1 kHz was achieved. A good 8-shape directivity pattern was also obtained for the optimized DCT horn with the lateral inhibition ratio of 50.3 dB. No additional noise was introduced, demonstrating the DCT horn’s potential in improving the sensitivity of acoustic particle velocity sensors.

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“…Notably, most wideband algorithms [ 10 ] work with predefined array shapes, or are limited to 2D, to specific signals, or to a known number of targets [ 12 ]. In some cases, the preferred solution is to directly employ particle velocity sensors [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Underwater Localization via Wideband Direction-of-Arrival Estimation Using Acoustic Arrays of Arbitrary Shape

Dubrovinskaya

Kebkal²,

Kebkal³

et al. 2020

Sensors

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Underwater sensing and remote telemetry tasks necessitate the accurate geo-location of sensor data series, which often requires underwater acoustic arrays. These are ensembles of hydrophones that can be jointly operated in order to, e.g., direct acoustic energy towards a given direction, or to estimate the direction of arrival of a desired signal. When the available equipment does not provide the required level of accuracy, it may be convenient to merge multiple transceivers into a larger acoustic array, in order to achieve better processing performance. In this paper, we name such a structure an “array of opportunity” to signify the often inevitable sub-optimality of the resulting array design, e.g., a distance between nearest array elements larger than half the shortest acoustic wavelength that the array would receive. The most immediate consequence is that arrays of opportunity may be affected by spatial ambiguity, and may require additional processing to avoid large errors in wideband direction of arrival (DoA) estimation, especially as opposed to narrowband processing. We consider the design of practical algorithms to achieve accurate detections, DoA estimates, and position estimates using wideband arrays of opportunity. For this purpose, we rely jointly on DoA and rough multilateration estimates to eliminate spatial ambiguities arising from the array layout. By means of emulations that realistically reproduce underwater noise and acoustic clutter, we show that our algorithm yields accurate DoA and location estimates, and in some cases it allows arrays of opportunity to outperform properly designed arrays. For example, at a signal-to-noise ratio of –20 dB, a 15-element array of opportunity achieves lower average and median localization error (27 m and 12 m, respectively) than a 30-element array with proper λ / 2 element spacing (33 m and 15 m, respectively). We confirm the good accuracy of our approach via emulation results, and through a proof-of-concept lake experiment, where our algorithm applied to a 10-element array of opportunity achieves a 90th-percentile DoA estimation error of 4 ∘ and a 90th-percentile total location error of 5 m when applied to a real 10-element array of opportunity.

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A vector sensing scheme for underwater acoustics based on particle velocity measurements

Cited by 6 publications

References 17 publications

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity

Design and Optimization of Sensitivity Enhancement Package for MEMS-Based Thermal Acoustic Particle Velocity Sensor

Underwater Localization via Wideband Direction-of-Arrival Estimation Using Acoustic Arrays of Arbitrary Shape

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