Analysis of shallow water sound velocity profile impact on detection performance of active sonar signal

Chen, Fa; Li, Yongsheng; Linxia, Lv

doi:10.1109/coa.2016.7535676

Cited by 5 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another possible issue with the shallow sea can be a complex ray path propagation and possible reflections and absorption, especially due to the interaction with sandy or clay seafloor. Sound propagation in very shallow waters has been studied largely in literature by [69,70,71,72] converging to stating that shallow waters propagation can be seen as a small scale problem respect to deep waters, for this reason we will apply ray tracing to simulate our environment. Refraction and reflections are the physical phenomena that guide the direction of the wave field across the path from the source to the various receivers.…”

Section: The Existing Infrastructure In Adriatic Seamentioning

confidence: 99%

Acoustic Neutrino Detection In a Adriatic Multidisciplinary Observatory (ANDIAMO)

Marinelli,

Migliozzi,

Simonelli

2021

Preprint

View full text Add to dashboard Cite

The existence of cosmic accelerators able to emit charged particles up to EeV energies has been confirmed by the observations made in the last years by experiments such as Auger and Telescope Array. The interaction of such energetic cosmic-rays with gas or low energy photons, surrounding the astrophysical sources or present in the intergalactic medium, guarantee an ultrahigh-energy neutrino related emission. When these energetic neutrinos interact in a medium produce a thermo-acoustic process where the energy of generated particle cascades can be conveyed in a pressure pulse propagating into the same medium. The kilometric attenuation length as well as the well-defined shape of the expected pulse suggest a large-area-undersea-array of acoustic sensors as an ideal observatory. For this scope, we propose to exploit the existing and no more operative ENI offshore (oil rigs) powered platforms in the Adriatic sea as the main infrastructure to build an acoustic submarine array of dedicated hydrophones covering a surface area of 3000 Km 2 . In this work we describe the advantages of this detector concept using a new wave-tracing technique as well as the scientific goals linked to the challenging purpose of observing for the first time ultra-high-energy cosmic neutrinos. This observatory will be complementary to the dedicated radio array detectors with the advantages of avoiding any possible thermo-acoustic noise from the atmospheric muons.

show abstract

Section: The Existing Infrastructure In Adriatic Seamentioning

confidence: 99%

Acoustic Neutrino Detection In a Adriatic Multidisciplinary Observatory (ANDIAMO)

Marinelli,

Migliozzi,

Simonelli

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Zhang Wei et al [25] extrapolated incomplete temperature and salinity profiles, calculated sound speed using empirical formulas, selected three sound speed points with significant changes, solved EOF coefficients, and reconstructed the entire ocean depth sound speed profile using the first three EOFs. Cheng Fang et al [26] used a small amount of full-depth sound speed profile sampling data in the surveyed area as a basis and the EOF method to extrapolate the sound speed profiles that were not sampled to full depth. Although the EOF method can simplify the representation of sound speed profiles, it is not suitable for extrapolating non-full-depth sound speed profiles because this method is limited by the minimum sampling depth of the sample data.…”

Section: Introductionmentioning

confidence: 99%

A Method for Full-Depth Sound Speed Profile Reconstruction Based on Average Sound Speed Extrapolation

Zhang,

Jin,

Bian

et al. 2024

JMSE

View full text Add to dashboard Cite

The speed of sound in seawater plays a crucial role in determining the accuracy of multibeam bathymetric measurements. In deep-sea multibeam measurements, the challenge of inadequate longitudinal coverage of sound speed profiles arises from variations in seafloor topography, meteorological conditions, measurement equipment, and operational efficiency, resulting in diminished measurement precision. Building upon the EOF (Empirical Orthogonal Function), a method employed to analyze spatiotemporal data such as sound speeds, this paper addresses the limitations of the EOF method caused by the shallowest sampling depth of the sound speed profile samples. It proposes two methods for EOF reconstruction of measured sound speed profiles extended to full water depth by splicing measured sound speed profiles at non-full water depths with historical average sound speed profiles of the surveyed sea area. Specially, Method 2 introduces the latest metaheuristic optimization algorithm, CPO (Crested Porcupine Optimizer), which exhibited superior performance on multiple standard test functions in 2024. The study reconstructs randomly sampled measured sound speed profiles using the two proposed methods and commonly employed substitution and splicing methods, followed by a comparative analysis of the experimental outcomes. At a sampling depth of 200 m, Method 2 demonstrates performance superior to other methods, with RMSE, MAE, MAPE, and R2 values of 0.9511 m/s, 0.8492 m/s, 0.0566%, and 0.9963, respectively. Method 1 yields corresponding values of 0.9594 m/s, 0.8492 m/s, 0.0568%, and 0.9962, respectively. Despite its slightly inferior performance compared with Method 2, it offers substantial advantages over the substitution and splicing methods. Varying the sampling depth of measured sound speed profiles reveals that Methods 1 and 2 exhibit inferior reconstruction performance in shallow water compared with the substitution and splicing methods. Nevertheless, when the sampling depth surpasses the depth range of initial spatial modes with abrupt variations, both methods achieve notably higher reconstruction accuracy compared with the substitution and splicing methods, reaching a stabilized state. Sound ray tracing reveals that the reconstructed sound speed profiles from both methods meet the stringent accuracy standards for bathymetric measurements, achieving an effective beam ratio of 100%. The proposed methods not only provide rapid reconstruction of sound speed profiles, thereby improving the efficiency of multibeam bathymetric surveys, but also provide references for the reasonable determination of sampling depths of sound speed profiles to ensure reconstruction accuracy, demonstrating practical application value.

show abstract

“…The noise includes the ambient noise of the underwater acoustic (UWA) channel as well as the receiver noise and is often modelled as being white and stationary [4, 5]. In sensing applications that use a known transmitted signal such as active sonars [6], a matched filter [2, 7, 8] maximises the SNR of the received signal in the presence of white, stationary noise. The impulse response of the matched filter

bold-italich

for white stationary noise is simply the time‐reversed complex conjugate of the transmitted signal.…”

Section: Introductionmentioning

confidence: 99%

Performance of the matched filter in sonar systems having time variable gain

Rashed¹,

Meijer

Teal³

2020

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

Analysis of shallow water sound velocity profile impact on detection performance of active sonar signal

Cited by 5 publications

References 1 publication

Acoustic Neutrino Detection In a Adriatic Multidisciplinary Observatory (ANDIAMO)

Acoustic Neutrino Detection In a Adriatic Multidisciplinary Observatory (ANDIAMO)

A Method for Full-Depth Sound Speed Profile Reconstruction Based on Average Sound Speed Extrapolation

Performance of the matched filter in sonar systems having time variable gain

Contact Info

Product

Resources

About