TY - JOUR
T1 - Measurements and Analysis of Maritime Wireless Channel at 8 GHz in the South China Sea Region
AU - Zhang, Qi
AU - Wang, Shuwen
AU - Shi, Yang
AU - Yang, Kunde
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - This article presents the measurement results of maritime wireless propagation channel at 8 GHz in the South China Sea (SCS) region. Large-scale path loss (PL) and small-scale fading of channels between a marine observation platform and a moving vessel are investigated. For large-scale PL, comparisons are conducted among the free space model, the two-ray model, the parabolic equation model (PEM), and the log-distance model with the measured PL data. The results show that the log-distance model agrees well with the general trend of the measured data, whereas the PEM has a better ability to capture the variations of the interference nulls. In addition, the free space model and the two-ray model have larger deviation from the empirical data, implying that they are not suitable for the desired scenario. For small-scale fading, various distributions are considered to fit the fading. Based on the criteria of Kolmogorov-Smirnov statistics, the Rician distribution has the best goodness of fit, compared with the Rayleigh, Nakagami-m, Welbull, or lognormal distributions. These research can provide good guidance for efficient designing and future deployments of distributed buoy networks (DBNs) in the SCS region.
AB - This article presents the measurement results of maritime wireless propagation channel at 8 GHz in the South China Sea (SCS) region. Large-scale path loss (PL) and small-scale fading of channels between a marine observation platform and a moving vessel are investigated. For large-scale PL, comparisons are conducted among the free space model, the two-ray model, the parabolic equation model (PEM), and the log-distance model with the measured PL data. The results show that the log-distance model agrees well with the general trend of the measured data, whereas the PEM has a better ability to capture the variations of the interference nulls. In addition, the free space model and the two-ray model have larger deviation from the empirical data, implying that they are not suitable for the desired scenario. For small-scale fading, various distributions are considered to fit the fading. Based on the criteria of Kolmogorov-Smirnov statistics, the Rician distribution has the best goodness of fit, compared with the Rayleigh, Nakagami-m, Welbull, or lognormal distributions. These research can provide good guidance for efficient designing and future deployments of distributed buoy networks (DBNs) in the SCS region.
KW - Channel models
KW - fading channels
KW - microwave propagation
KW - path loss (PL)
UR - http://www.scopus.com/inward/record.url?scp=85139878279&partnerID=8YFLogxK
U2 - 10.1109/TAP.2022.3209664
DO - 10.1109/TAP.2022.3209664
M3 - 文章
AN - SCOPUS:85139878279
SN - 0018-926X
VL - 71
SP - 2674
EP - 2681
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 3
ER -