The DOI matches its Crossref record.
Air–Ground Channel Characterization for Unmanned Aircraft Systems Part II: Hilly and Mountainous Settings
Abstract
The use of unmanned aircraft systems (UAS) is expanding rapidly. For safe and reliable integration of UAS into the National Airspace System (NAS), control and nonpayload communication (CNPC) system requirements are being developed. The air-to-ground (AG) channel characteristics essentially determine CNPC link performance. The National Aeronautics and Space Administration (NASA) Glenn Research Center has sponsored a comprehensive AG channel measurement campaign in 2013 in both the Land C-bands recently allocated for UAS. These measurements covered nearly all typical ground site (GS) local environments, including over water, hilly, mountainous, suburb, and near urban. As a continuation of results reported for the over-water scenarios, a description of the measurement campaign, measured results, and complete AG channel models for hilly and mountainous terrains are provided in this paper. The path loss is modeled by a modified log-distance path loss model with a correction for flight direction; path loss results are close to those of free space. A strong ground reflection was observed only for some small portions of some of the flight paths. The small-scale fading is well modeled by the Ricean distribution with a K-factor of 29.4 dB in the C-band and 12.8 dB in the L-band. The interband signals are uncorrelated. The spatial correlation for the two intraband channels with an aircraft antenna separation of 1.8 m is greater than 0.85. The C-band root-mean-square delay spread (RMS-DS) is 10 ns most of the time, with a maximum of 1 μs in hilly terrain and 180 ns in mountainous terrain. Tapped delay line (TDL) models accounting for the line of sight (LOS) and up to seven intermittent multipath components (MPCs) were developed, including the MPCs' probability of occurrence, relative power, phase, duration, and excess delay.
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
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
Space-Air-Ground Integrated Network: A Survey
Liu, J., Shi, Y., Fadlullah, Z. M., & Kato, N. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841996 · Cited by 1,281
A Comprehensive Survey on UAV Communication Channel Modeling
Yan, C., Fu, L., Zhang, J., & Wang, J. (2019) · IEEE Access · doi:10.1109/access.2019.2933173 · Cited by 395
Time Non-stationary RS-GBSM for UAV Wideband Channels
Bai, L., Huang, Z., & Cheng, X. (2024) · Wireless Networks · doi:10.1007/978-3-031-57503-7_4 · Cited by 2
Time Stationary RS-GBSM for UAV Narrowband Channels
Bai, L., Huang, Z., & Cheng, X. (2024) · Wireless Networks · doi:10.1007/978-3-031-57503-7_2 · Cited by 1
Metadata
- Authors
- Sun, R., & Matolak, D. W.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2017-03
- Volume
- 66
- Issue
- 3
- Pages
- 1913-1925
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2475307529
- Cited by
- 238
- References
- 0
- FWCI
- 13.57
- 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: Air–Ground Channel Characterization for Unmanned Aircraft Systems Part II: Hilly and Mountainous Settings. https://app.cochat.ai/papers/10.1109/tvt.2016.2585504
- The paper
- Sun, R., & Matolak, D. W. (2017). Air–Ground Channel Characterization for Unmanned Aircraft Systems Part II: Hilly and Mountainous Settings. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2016.2585504
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.