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Open research questions in Underwater Acoustics Research

150 gap statements mined from Underwater Acoustics Research papers in our 7.9M-paper local library, which holds 1,147 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • Limited performance of conventional peak-detection methods in high ambient noise levels. Lack of prior knowledge of noise distribution or templates in real-world scenarios. Need for improved detection algorithms that can adapt to complex marine environments.

    An Active Sonar Signal Detection Algorithm Based on Weighted Neighbourhood Relative Entropy in the Underwater Acoustic Noise Environment · 2026 · DOI

  • The need for joint segmentation of heterogeneous side-scan sonar datasets. The challenge of learning from different acoustic distributions and annotation scopes. The lack of a comprehensive evaluation of dataset-aware masked supervision for joint segmentation.

    Evaluating Dataset-Aware Masked Supervision for Joint Segmentation of Heterogeneous Side-Scan Sonar Datasets · 2026 · DOI

  • While neural radiance fields (NeRFs) have achieved remarkable success in optical imaging, their extension to forwardlooking sonar (FLS) remains underexplored due to the fundamental mechanisms of different acoustic propagation physics.

    Physics-Guided Neural Radiance Fields for Forward-Looking Sonar Imaging · 2026 · DOI

  • However, traditional tidal observations from tide gauges, pressure sensors, or satellite altimetry remain sparse in many remote polar regions.

    A novel application of passive acoustic monitoring for detecting tidal constituents through low-frequency ambient noise variability · 2026 · DOI

  • To address this, we propose ping based convolutional neural network (PingCNN), a novel approach leveraging raw 1-D sonar pings, yet not explored in literature.

    PingCNN: A Low-Latent and Low-Cost Network for Mine Detection in Side Scan Sonar Signal · 2026 · DOI

  • The application of machine learning in underwater acoustics is often limited by the lack of high-quality data.

    Model-Guided Deep Learning for Line Segment Detection in Time–Frequency Spectrograms of an Ocean Waveguide · 2025 · DOI

  • Image normalization strategies for 3-D synthetic aperture sonar (SAS) is a relatively underexplored area for target classification leveraging convolutional neural networks (CNNs).

    Volumetric Hadamard Normalization for Synthetic Aperture Sonar Sub-Bottom Target Classification · 2025 · DOI

  • A key limitation for the analysis of this data is the presence of intrinsic system artifact patterns due to transducer design and receiver-array sidelobe-induced signal interferences.

    A Method for the Simulation and Removal of Multibeam Echosounder Water Column Data Artifacts · 2025 · DOI

  • There is a need for refined modeling and mechanistic analysis of acoustic scattering from multiple small targets. The existing studies have limitations in modeling the complex multimodal resonance properties of dual targets.

    Numerical simulation and experimental verification of multi-highlight dual-target acoustic scattering based on multi-physics field coupling · 2026 · DOI

  • The existing finite element and spectral models have limitations in terms of accuracy and efficiency. There is a need for a method that combines the strengths of both finite element and spectral models.

    Spectral element solution of the depth-dependent kernel functions in wavenumber integration theory of underwater acoustic propagation · 2026 · DOI

  • There is a lack of publicly accessible high-resolution bathymetric data for the Red Sea. The existing General Bathymetric Chart of the Oceans provides only coarse resolution coverage.

    The first regional‑scale multibeam echosounder bathymetric dataset of the Saudi Arabian Red Sea · 2026 · DOI

  • Future research should explore how spatially optimized sampling designs influence the detection and interpretation of ecologically meaningful patterns, such as biodiversity or species-specific acoustic signals.

    A workflow to optimize spatial sampling in ecoacoustic studies · 2026 · DOI

  • The proposed method is limited to scenarios where the traditional MI method fails. The computation amount of the proposed method is evaluated and compared with other methods. The proposed method requires a large number of receivers and a high PRF.

    Seafloor imagery with an advanced imaging sonar system · 2026 · DOI

  • Although there is no consensus on the maximum allowable distance for reference stations, we found that distances around 400 km from the survey area allow retrieving orientation closer to the one computed from in situ measurements (compass method), while distances bigger than 800 km show scattered results.

    Using electromagnetic fields to estimate the orientation of ocean-bottom receivers · 2026 · DOI

  • The challenges include the difficulty in maintaining precise time synchronization between the source and the receivers in practical deployments. The paper also identifies the challenge of mitigating the geometric limitation observed in TDOA-based localization. Another challenge is the need to design an appropriate receiver-array geometry to improve TDOA-based localization accuracy.

    Synchronization-Free Underwater Acoustic Localization for Autonomous Platforms: A Neural Network TDOA Approach and the Role of Receiver Geometry · 2026 · DOI

  • Constructing capture histories from recordings is challenging and time-consuming. The number of possible capture histories can be intractably large. The method needs to be computationally feasible and accurate.

    Approximate Maximum Likelihood Inference for Acoustic Spatial Capture-Recapture with Unknown Identities, Using Monte Carlo Expectation Maximization · 2026 · DOI

  • The variation in characteristic frequency dependency of the attenuation from f^2 to f^1/2 in Biot theory was not observed. The attenuation measurements obtained with the GAProbe exhibit a larger standard deviation than those obtained with the BISAMS do.

    Acoustic properties and their frequency dependence in fine-grained sediments: a geoacoustic probe experiment · 2026 · DOI

  • Few studies have experimentally measured both target strength (TS) and scattering model inputs for individual shrimp and shelled pteropods, especially from the meso- and bathypelagic.

    Experimental target strength measurements of pteropods and shrimp emphasize the importance of scattering model inputs · 2024 · DOI

  • To explore the use of SemWI in other fields, such as seismic exploration.

    Spectral element solution of the depth-dependent kernel functions in wavenumber integration theory of underwater acoustic propagation · 2026 · DOI

  • Classical algorithms assume instantaneous mixing, which is not suitable for underwater acoustic source separation, - Prior methods do not account for long-delay multipath and spectral overlap among sources.

    Frequency-Domain Second-Order Decorrelation with Compact Time-Domain Regularization for Convolutive Underwater Acoustic Source Separation · 2026 · DOI

  • Conventional grid-based sparse Bayesian learning may suffer from grid mismatch. Dense grids can reduce grid mismatch but increase computational cost and dictionary coherence.

    Acoustic-Intensity-Guided Local Grid-Refinement Sparse Bayesian Learning for Broadband Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor · 2026 · DOI

  • The study does not provide a comprehensive comparison with other state-of-the-art methods - The experiments were conducted on a limited number of datasets - The model was designed for a specific application domain…

    A Lightweight Forward-Looking Sonar Sensing Framework for Embedded Target Detection in Resource-Constrained Underwater Systems · 2026 · DOI

  • Exploring the application of the proposed framework to other sensing modalities - Investigating the use of other knowledge transfer techniques to improve the detection performance - Developing more efficient and effective methods for embedded target…

    A Lightweight Forward-Looking Sonar Sensing Framework for Embedded Target Detection in Resource-Constrained Underwater Systems · 2026 · DOI

  • To further evaluate the performance of the proposed method in different scenarios. To compare the proposed method with other methods in terms of computation amount and imaging quality. To apply the proposed method in real-world undersea engineering and ocean observation applications.

    Seafloor imagery with an advanced imaging sonar system · 2026 · DOI

  • Further examination of the filter-length, multi-block CPSD, and output-ordering ablations, - Investigation of the universal optima for the choices of filter support, CPSD block count, and output…

    Frequency-Domain Second-Order Decorrelation with Compact Time-Domain Regularization for Convolutive Underwater Acoustic Source Separation · 2026 · DOI

Most-cited papers in Underwater Acoustics Research

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Open questions raised by papers listed on this page include: (1) Lack of prior knowledge of noise distribution or templates in real-world scenarios (“An Active Sonar Signal Detection Algorithm Based on Weighted Neighbourhood…”, 2026); (2) The lack of a comprehensive evaluation of dataset-aware masked supervision for joint segmentation (“Evaluating Dataset-Aware Masked Supervision for Joint Segmentation of…”, 2026); (3) While neural radiance fields (NeRFs) have achieved remarkable success in optical imaging, their extension to forwardlooking sonar (FLS) remains underexplored due to the fundamental mechanisms of different acoustic propagation physics (“Physics-Guided Neural Radiance Fields for Forward-Looking Sonar Imaging”, 2026); (4) There is a need for refined modeling and mechanistic analysis of acoustic scattering from multiple small targets (“Numerical simulation and experimental verification of multi-highlight…”, 2026); (5) There is a need for a method that combines the strengths of both finite element and spectral models (“Spectral element solution of the depth-dependent kernel functions in wavenumber…”, 2026). 150 gap statements have been mined from Underwater Acoustics Research papers in our 7.9M-paper local library, which holds 1,147 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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