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一种用于描述海上无线电传播的切片抛物线方程方法。

A Sliced Parabolic Equation Method to Characterize Maritime Radio Propagation.

机构信息

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2023 May 12;23(10):4721. doi: 10.3390/s23104721.

Abstract

For maritime broadband communications, atmospheric ducts can enable beyond line-of-sight communications or cause severe interference. Due to the strong spatial-temporal variability of atmospheric conditions in near-shore areas, atmospheric ducts have inherent spatial heterogeneity and suddenness. This paper aims to evaluate the effect of horizontally inhomogeneous ducts on maritime radio propagation through theoretical analysis and measurement validation. To make better use of meteorological reanalysis data, we design a range-dependent atmospheric duct model. Then, a sliced parabolic equation algorithm is proposed to improve the prediction accuracy of path loss. We derive the corresponding numerical solution and analyze the feasibility of the proposed algorithm under the range-dependent duct conditions. A 3.5 GHz long-distance radio propagation measurement is utilized to verify the algorithm. The spatial distribution characteristics of atmospheric ducts in the measurements are analyzed. Based on actual duct conditions, the simulation results are consistent with the measured path loss. The proposed algorithm outperforms the existing method during the multiple duct periods. We further investigate the influence of different duct horizontal characteristics on the received signal strength.

摘要

对于海上宽带通信,大气波导可实现超视距通信,也可能导致严重干扰。由于近岸地区大气条件的强时空可变性,大气波导具有固有空间异质性和突发性。本文旨在通过理论分析和测量验证,评估水平不均匀波导对海上无线电传播的影响。为了更好地利用气象再分析数据,我们设计了一个与距离相关的大气波导模型。然后,提出了一种切片抛物方程算法,以提高路径损耗的预测精度。我们推导出了相应的数值解,并分析了在距离相关波导条件下提出的算法的可行性。利用 3.5GHz 长距离无线电传播测量来验证算法。分析了测量中大气波导的空间分布特征。基于实际波导条件,模拟结果与实测路径损耗一致。在多个波导期间,所提出的算法优于现有方法。我们进一步研究了不同波导水平特征对接收信号强度的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f11d/10221489/d861eab1ca5a/sensors-23-04721-g001.jpg

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