The DOI matches its Crossref record.
Underwater acoustic communication channels: Propagation models and statistical characterization
Abstract
Acoustic propagation is characterized by three major factors: attenuation that increases with signal frequency, time-varying multipath propagation, and low speed of sound (1500 m/s). The background noise, although often characterized as Gaussian, is not white, but has a decaying power spectral density. The channel capacity depends on the distance, and may be extremely limited. Because acoustic propagation is best supported at low frequencies, although the total available bandwidth may be low, an acoustic communication system is inherently wideband in the sense that the bandwidth is not negligible with respect to its center frequency. The channel can have a sparse impulse response, where each physical path acts as a time-varying low-pass filter, and motion introduces additional Doppler spreading and shifting. Surface waves, internal turbulence, fluctuations in the sound speed, and other small-scale phenomena contribute to random signal variations. At this time, there are no standardized models for the acoustic channel fading, and experimental measurements are often made to assess the statistical properties of the channel in particular deployment sites.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Underwater optical wireless communications, networking, and localization: A survey
Saeed, N., Celik, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2019.101935 · Cited by 560
Foundations of MIMO Communication
Heath Jr, R. W., & Lozano, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139049276 · Cited by 426
Recent Advances and Future Directions on Underwater Wireless Communications
Ali, M. F., Jayakody, D. N. K., Chursin, Y. A., Affes, S., & Dmitry, S. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09354-8 · Cited by 319
Dynamic robotic tracking of underwater targets using reinforcement learning
Masmitja, I., Martin, M., O’Reilly, T., Kieft, B., Palomeras, N., Navarro, J., & Katija, K. (2023) · Science Robotics · doi:10.1126/scirobotics.ade7811 · Cited by 96
Metadata
- Authors
- Stojanovic, M., & Preisig, J.
- Venue
- IEEE Communications Magazine
- Published
- 2009-01
- Volume
- 47
- Issue
- 1
- Pages
- 84-89
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2170984917
- Cited by
- 2,060
- References
- 0
- FWCI
- 95.33
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Underwater acoustic communication channels: Propagation models and statistical characterization. https://app.cochat.ai/papers/10.1109/mcom.2009.4752682
- The paper
- Stojanovic, M., & Preisig, J. (2009). Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2009.4752682
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.