Measurement-Based Characterization and Modeling of Land-to-Ship Wireless Channels at 3.2 GHz

In this article, a wireless channel sounding campaign was conducted in a land-to-ship scenario at 3.2 GHz. The ship, equipped with a transmitter (TX), passed islands during measurement while the stationary receiver (RX) remained on land. Based on the measured data, the wireless channel characteristics in scenarios featuring islands were analyzed and a channel model was built. The power delay profile (PDP) indicates that as the TX moves to the shore, the relative delay of clusters shifts linearly backward on the delay axis. In addition, navigating through islands leads to a significant increase in the number of multipath components (MPCs). The single-frequency bias displayed in the Doppler spectrum can provide an insightful dimension for clustering. For large-scale fading, a two-ray model is used to characterize path loss which captures deep fading phenomenon specific to maritime environments. For small-scale fading, we develop a clustered delay line model that shows a linear relationship between cluster delay and TX-RX distance, with excess delay of MPCs following an exponential distribution. Our analysis reveals that the best-fit distribution for small-scale fading in line-of-sight (LOS) conditions shifts from Ricean to log-normal as the ship passes through islands. Furthermore, the number and power of clusters/MPCs are modeled. This research offers valuable insights for the design of maritime communication systems, particularly in environments with islands.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-11-07
DOI
https://doi.org/10.1109/tap.2024.3489880
Citations
7
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
2.24

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article

Measurement-Based Characterization and Modeling of Land-to-Ship Wireless Channels at 3.2 GHz

Pei Xiao, Lingjin Kong, Jibo Wei, Dongtang Ma et al.
7 citations
IEEE Transactions on Antennas and Propagation
Telecommunications and Broadcasting Technologies
2.24
article

Measurement-Based Characterization and Modeling of Land-to-Ship Wireless Channels at 3.2 GHz

Pei Xiao, Lingjin Kong, Jibo Wei, Dongtang Ma, Xiaoying Zhang, Yankun Wang, Yuan Mi
article en
7 citations

Abstract

In this article, a wireless channel sounding campaign was conducted in a land-to-ship scenario at 3.2 GHz. The ship, equipped with a transmitter (TX), passed islands during measurement while the stationary receiver (RX) remained on land. Based on the measured data, the wireless channel characteristics in scenarios featuring islands were analyzed and a channel model was built. The power delay profile (PDP) indicates that as the TX moves to the shore, the relative delay of clusters shifts linearly backward on the delay axis. In addition, navigating through islands leads to a significant increase in the number of multipath components (MPCs). The single-frequency bias displayed in the Doppler spectrum can provide an insightful dimension for clustering. For large-scale fading, a two-ray model is used to characterize path loss which captures deep fading phenomenon specific to maritime environments. For small-scale fading, we develop a clustered delay line model that shows a linear relationship between cluster delay and TX-RX distance, with excess delay of MPCs following an exponential distribution. Our analysis reveals that the best-fit distribution for small-scale fading in line-of-sight (LOS) conditions shifts from Ricean to log-normal as the ship passes through islands. Furthermore, the number and power of clusters/MPCs are modeled. This research offers valuable insights for the design of maritime communication systems, particularly in environments with islands.

IEEE Transactions on Antennas and PropagationVol. 73(1)
Xidian University (CN), National University of Defense Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 10%
Telecommunications and Broadcasting Technologies
2.24
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