针对不同海况下的空海通信场景,提出一种基于几何的信道模型。该模型在不同海况条件下,将无线电在海平面上的反射分为镜面反射和漫反射,并将海况对接收信号点的影响等效为对接收信号的高度和接收天线倾斜角的影响。所建立的等效散射圆柱体的直径由不同海况下理想镜面反射点之间的距离决定,圆柱体的高度由海浪对接收信号点的影响高度决定。基于所提出的信道模型,推导并仿真分析了时延迟自相关函数、频率自相关函数。结果表明,不同海况条件下不同延迟和不同频率间隔会显著影响信道的统计特性。
Aiming at air to sea communication scenarios which is caused by different sea conditions, a geometry-based channel model is proposed in this paper. The proposed model classifies the sea level reflections into specular and diffuse reflections according to the conditions of different sea states, and equates the effect of the sea state on the received signal point to the effect on the height of the received signal point and the tilt angle of the receiving antenna. The diameter of the cylindrical is determined by the distance between the ideal specular reflection points in different sea conditions, and the height of the cylinder is determined by the height of the wave impact on the received signal point. Based on the proposed channel model, the delay autocorrelation function, frequency autocorrelation function was derived and analyzed in simulation, and the results show that different delay and different frequency intervals under different sea state conditions will significantly affect the statistical characteristics of the channel.
2024,46(19): 132-136 收稿日期:2023-12-13
DOI:10.3404/j.issn.1672-7649.2024.19.023
分类号:TN925
基金项目:国家自然科学基金青年基金(62101579)
作者简介:吴熙(1998-),男,硕士研究生,研究方向为信道建模
参考文献:
[1] CHENG X, LI Y, A 3D geometry-based stochastic model for UAV-MIMO wideband nonstationary channels[J]. IEEE Internet of Things Journal, 2018, 99: 11.
[2] ZENG L, CHENG X, WANG C X, et al. Second order statistics of non-isotropic uav ricean fading channels[J]. 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017, 8: 1–5.
[3] MA Z, AI B, HE R, et al. A non-stationary geometry-based MIMO channel model for millimeter-wave UAV networks[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(10): 2960–2974.
[4] JIA R, LI Y, CHENG X,et al. 3D geometry-based UAV-MIMO channel modeling and simulation[J]. China Communications, 2018, 15(12): 67–74.
[5] ZHU Q, HIANG K, CHEN X, et al. A novel 3D non-stationary UAV-MIMO channel model and its statistical properties[J]. China Communications, 2018, 15(12): 147–158.
[6] HIANG H, ZHANG Z, GUI G. Three-dimensional non-stationary wideband geometry-based UAV channel model for A2G communication environments[J]. IEEE Access, 2019, 7: 26116–26122.
[7] YANG K, ROSTE T, BEKKADAL F, et al. Long-distance propagation measurements of mobile radio channel over sea at 2 GHz[C]// 2011 IEEE Vehicular Technology Conference (VTC Fall), 2011, 1–5.
[8] ZHAO T, REN G, CHI X. Maritime mobile channel transmission model based on ITM[C]//International Symposium on Computer, 2013, 3–53.
[9] REYES-GHC, BRUNO M, MARISCAL L, et al. Medouri, Buoy-to-ship experimental measurements over sea at 5.8 GHz near urban environments[C]// 2011 11th Mediterranean Microwave Symposium (MMS), Yasmine Hammamet, Tunisia, 2011: 320–324.
[10] LEE H H, CHOI H, LEE W H, et al. Measurement and analysis on land-to-ship offshore wireless channel in 2.4 GHz[J]. IEEE Wireless Communications Letters, 2017, 6(2): 222–225.