Improved Active Sonar Tactical Support by Through-the-Sensor Estimation of Acoustic Seabed Properties

Vossen, R. van; Eidem, Ellen Johanne; Ivansson, Sven; Chalindar, B.; Dybedal, J.; Colin, M.E.G.D.; Benders, F.P.A.; Juhel, B.; Cristol, Xavier; Olsen, G.K.; Pihl, J.; Tveit, Elling; Jespers, S.; Ainslie, Michael A.

doi:10.1109/joe.2013.2277635

Cited by 3 publications

(2 citation statements)

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“…The number of pairs required for three-dimensional coverage using the three models is plotted with respect to source level and frequency in Figs. 28 • The detection range obtained from the traditional sonar detection model continues to decrease depending on the frequency increase. Similarly, as the frequency increases, the number of source-receiver pairs required for full volume coverage with the sonar detection model increases.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, acoustic wave propagation patterns and depth-dependent sound velocity profiles are important factors in finding the correct detection range and coverage underwater [27]. For this reason, the accuracy of underwater target detection using sonar technology is determined by a wide range of environmental criteria used in acoustic ray tracing-based sonar performance prediction tools [28], [29]. In this way, ray trace-based propagation properties are simulated at different intervals and depths.…”

Section: Introductionmentioning

confidence: 99%

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Three Dimensional Volume Coverage in Multistatic Sonar Sensor Networks

2022

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Recent changes in the design of enemy threats such as submarines and the technological achievements in sensor development have paved the way for multistatic sonar applications, which increase security and situational awareness in underwater tactical operations. Previously, coverage in multistatic sonar sensor networks (MSSN) was studied using Cassini ovals and the traditional sonar detection model in two dimensions without any discussion of the practicability and feasibility in terms of conditions related to the underwater acoustic propagation environment. In this study, a practical three-dimensional MSSN channel model is proposed. The proposed model covers a spectral variation of absorption loss, ambient noise, sound speed profile, and shadow zones. The realistic effects of sound propagation and environmental conditions are modeled and evaluated using Lybin, which is a well-known sonar performance prediction tool. Using the practical MSSN channel model, the number of source-receiver pairs required to cover a three-dimensional MSSN volume is calculated. The impacts of frequency, source-to-receiver distance, and source level are investigated. The results are compared to the Cassini oval and traditional sonar detection models via an error expression derived according to our verified practical model. The results reveal that the inclusion of ambient conditions and sound propagation characteristics in the channel model leads to huge error levels of 4700000% in the Cassini oval model and 170000% in the traditional sonar detection model, depending on frequency. Thus, the applicability of these models in realistic MSSN deployment scenarios is limited.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%