Estimation of wireless channel fading model in maritime communication for complex meteorological environment

Yasheng DAI; Bolin MA; Guangxue YUE

doi:10.11959/j.issn.1000-0801.2022061

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Estimation of wireless channel fading model in maritime communication for complex meteorological environment

Research and Development | 更新时间：2024-06-05

- Estimation of wireless channel fading model in maritime communication for complex meteorological environment
- Telecommunications Science Vol. 38, Issue 3, Pages: 158-171(2022)
- 作者机构：
  
  1. 嘉兴学院信息科学与工程学院，浙江嘉兴 314001
  2. 上海大学计算机工程与科学学院，上海 200444
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022061
  CLC： TP393
- Published Online：2022-03，
  
  Published：20 March 2022
- 稿件说明：
移动端阅览
Yasheng DAI, Bolin MA, Guangxue YUE. Estimation of wireless channel fading model in maritime communication for complex meteorological environment[J]. Telecommunications science, 2022, 38(3): 158-171.
DOI：

Yasheng DAI, Bolin MA, Guangxue YUE. Estimation of wireless channel fading model in maritime communication for complex meteorological environment[J]. Telecommunications science, 2022, 38(3): 158-171. DOI： 10.11959/j.issn.1000-0801.2022061.

摘要

海洋表面受电磁波稀疏散射、海浪阴影衰落、舰船摆动、晴雾雨雪等复杂环境因素影响，海上无线通信信道衰落建模极其复杂。通过分析直射、镜面反射、漫反射和复杂气象环境对信道衰落的影响，提出了复杂气象环境海上无线通信信道衰落估计模型。设计改进蜂群算法对该信道衰落估计模型求解，构建以sin(·)函数为算子引导跟随蜂进行搜索，降低搜索空间，提高求解效率和精度。引领蜂以概率P接收侦查蜂解进行更新，抑制求解算法陷入局部最优的问题。实验结果表明，提出的模型与波动双射线模型和地球曲率模型相比，精度平均提升13.58%和11.43%；与布谷鸟搜索、遗传算法、模拟退火算法等对比分析，搜索时间分别减少60.48%、45.18%、43.23%。

Abstract

Due to the influence of complex marine environmental factors such as sparse scattering of electromagnetic wave on the ocean surface

wave shadow fading

complex meteorological environment.It is extremely hard to model the fading of wireless channel in maritime communication environment.After analyzing the influence of meteorological environment and multipath channel fading via direct-path

specular-path and diffuse-path on marine wireless communication channel fading

the estimation of wireless channel fading model in maritime communication for complex meteorological environment (EWCFM-CME) was proposed.An improved bee colony algorithm was designed to estimation the parameter of EWCFM-CME.In order to improve the efficiency and accuracy of search algorithm

an iterative function with sin(·) function as operator was designed in search scheme of bee colonies.The leading bee received the detection bee solution to update itself with probability P.It prevents the solution algorithm from falling into local optimization.The simulation results show that

compared with fluctuate two-ray (FTR) fading model and round earth loss (REL) model

the mean absolute error (MAE) of EWCFM-CME increased by 13.58% and 11.43% By comparing EWCFM-CME with cuckoo search

genetic algorithm and simulated annealing algorithm

the search time is reduced by 60.48%

45.18% and 43.23%

respectively.

关键词

Keywords

references

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