复杂气象环境海上无线通信信道衰落估计模型

doi:10.11959/j.issn.1000-0801.2022061

Abstract

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.

Key words: marine environment, wireless communication, bee colony algorithm, channel fading

CLC Number:

TP393

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.

Figures/Tables 14

References 21

[1]	YANG K , MOLISCH A F , EKMAN T ,et al. A round earth loss model and small-scale channel properties for open-sea radio propagation[J]. IEEE Transactions on Vehicular Technology, 2019,68(9): 8449-8460.
[2]	陈真佳 . 海上电磁频谱感知与预测方法研究[D]. 海口:海南大学, 2020.
	CHEN Z J . Research on offshore electromagnetic spectrum sensing and prediction methods[D]. Haikou:Hainan University, 2020.
[3]	陈灿彬 . 海上宽带移动无线信道建模研究[D]. 厦门:厦门大学, 2017.
	CHEN C B . Research on broadband mobile wireless channel modeling at sea surface[D]. Xiamen:Xiamen University, 2017.
[4]	WANG J , ZHOU H F , LI Y ,et al. Wireless channel models for maritime communications[J]. IEEE Access, 2018(6): 68070-68088.
[5]	ROMERO-JEREZ J M , LOPEZ-MARTINEZ F J , PARIS J F ,et al. The fluctuating two-ray fading model:statistical characterization and performance analysis[J]. IEEE Transactions on Wireless Communications, 2017,16(7): 4420-4432.
[6]	LEE J H , CHOI J , 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.
[7]	王峰, 吴畏, 彭茜 ,等. 海上VHF/UHF频段信道环境及其空时频率选择性[J]. 电子学报, 2017,45(6): 1523-1529.
	WANG F , WU W , PENG Q ,et al. Maritime wireless channel environment at VHF/UHF bands and its space-time frequency selectivity[J]. Acta Electronica Sinica, 2017,45(6): 1523-1529.
[8]	WANG W , JOST T , RAULEFS R . A semi-deterministic path loss model for in-harbor LoS and NLoS environment[J]. IEEE Transactions on Antennas and Propagation, 2017,65(12): 7399-7404.
[9]	YU H , SHUI P L , LU K . Outlier-robust tri-percentile parameter estimation of K-distributions[J]. Signal Processing, 2021,(181): 107906.
[10]	魏特, 王文浩, 陈军 ,等. 环境信息辅助的海上无线信道测量与建模[J]. 清华大学学报(自然科学版), 2021,61(9): 1002-1007.
	WEI T , WANG W H , CHEN J ,et al. Environmental information-aided maritime wireless channel measurement and modelling[J]. Journal of Tsinghua University (Science and Technology), 2021,61(9): 1002-1007.
[11]	HUO Y , DONG X , BEATTY S . Cellular communications in ocean waves for maritime internet of things[J]. IEEE Internet of Things Journal, 2020,10(7): 9965-9979.
[12]	沈轩帆, 廖勇, 代学武 ,等. 基于BEM的非平稳双选信道估计方法[J]. 电子学报, 2019,47(1): 204-210.
	SHEN X F , LIAO Y , DAI X W ,et al. Non-stationary and doubly-selective channel estimation method based on basis expansion model[J]. Acta Electronica Sinica, 2019,47(1): 204-210.
[13]	华博宇, 朱秋明, 何小祥 ,等. 快速时变场景下非平稳衰落信道建模仿真[J]. 电信科学, 2020,36(5): 56-64.
	HUA B Y , ZHU Q M , HE X X ,et al. Modeling and simulation of the non-stationary fading channels under fast time-variant environment[J]. Telecommunications Science, 2020,36(5): 56-64.
[14]	ABDULRAHMAN A Y , RAHMAN T A , RAHIM S K A ,et al. Rain attenuation predictions on terrestrial radio links:differential equations approach[J]. Transactions on Emerging Telecommunications Technologies, 2012,23(3): 293-301.
[15]	CHEFFENA M , MOHAMED M . Empirical path loss models for wireless sensor network deployment in snowy environments[J]. IEEE Antennas and Wireless Propagation Letters, 2017(16): 2877-2880.
[16]	FERREIRA M M , AMBROZIAK S J , CARDOSO F D ,et al. Fading modeling in maritime container terminal environments[J]. IEEE Transactions on Vehicular Technology, 2018,67(10): 9087-9096.
[17]	LIU Y , WANG C X , CHANG H ,et al. A novel non-stationary 6G UAV channel model for maritime communications[J]. IEEE Journal on Selected Areas in Communications, 2021,39(10): 2992-3005.
[18]	YUE D W , ZHANGY , JIA Y . Beamforming based on specular component for massive MIMO systems in ricean fading[J]. IEEE Wireless Communications Letters, 2015,4(2): 197-200.
[19]	商德江, 钱治文, 何元安 ,等. 基于联合波叠加法的浅海信道下圆柱壳声辐射研究[J]. 物理学报, 2018,67(08): 125-138.
	SHANGD J , QIANZ W , HE Y A ,et al. Sound radiation of cylinder in shallow water investigated by combined wave superposition method[J]. Chinese Journal of Physics, 2018,67(8): 125-138.
[20]	张颖, 姚雨丰 . 基于快速贝叶斯匹配追踪优化的海上稀疏信道估计方法[J]. 电子与信息学报, 2020,42(2): 534-540.
	ZHANG Y , YAO Y F . Channel estimation algorithm of maritime sparse channel based on fast bayesian matching pursuit optimization[J]. Journal of Electronics ＆ Information Technology, 2020,42(2): 534-540.
[21]	樊昌信, 曹丽娜 . 通信原理(第 7 版)[M]. 北京: 国防工业出版社, 2012.
	FAN C X , CAO L N . Principles of communication (7th edition)[M]. Beijing: National Defense Industry Press, 2012.

Metrics

Recommended 0

No Suggested Reading articles found!

类别	参数	值（单位）
发射机、接收机仿真参数	载波频率	2.2～2.4 GHz、5.1～5.3 GHz
	频带宽度	200 MHz
	发射功率	30～35 dBm
	接收功率	-75～10 dBm
	多普勒频偏分辨率	7 Hz
	舰船移动最大多普勒频偏	300 Hz
	直射与镜面反射平均到达延迟差	12.96 μs
	发射天线个数	8个
	发射天线高度	24.8 m
	发射天线增益	18 dBi
	接收天线个数	3个
	接收天线高度	12.5 m
	接收天线增益	11 dBi
	调制方式	N-QAM，N∈{2,4,8,16}
	光速	299 792 458 m/s
海上通信环境仿真参数	温度	10～30℃
	风速	3～6 m/s
	海浪最大高度	1.1 m
	海浪平均高度	0.6 m
	海浪高度均方差	0.1 m
	海水相对介电常数	81
相对移动数据集参数	采样间隔	4～5 s
	采样时间	5h
	采样次数	4 000
	实际样本容量	3 572
	气温	11～26 ℃
	通信距离	200 m～29 km
固定位置数据集参数	采样间隔	1s
	采样时间	1h
	采样次数	3 600次
	采样开始时刻	数据集2a清晨6点、数据集2b下午1点
	实际样本容量	3 123（数据集2a）/3 206（数据集2b）
	气温	11℃（数据集2a）/26℃（数据集2b）
	通信距离	29 km

模型	向基站方向航行					离开基站方向航行
模型	MAE	RMSE	迭代次数/次	算法运行时间/ms	MAE>0.9距离/km	MAE	RMSE	迭代次数/次	算法运行时间/ms	MAE>0.9距离/km
FTR	0.818	0.827	211	167	4	0.797	0.806	406	331	3
EWCFM-CME	0.903	0.912	52	66	15	0.891	0.901	85	101	19
REL	0.783	0.792	86	317	4	0.777	0.786	107	446	3

模型	固定位置测试1					固定位置测试2
模型	MAE	RMSE	迭代次数/次	运行时间/ms	稳定时间/ms	MAE	RMSE	迭代次数/次	运行时间/ms	稳定时间/ms
FTR	0.576	0.585	525	615	585	0.492	0.501	538	661	593
EWCFM-CME	0.851	0.860	96	114	93	0.832	0.841	101	124	96
REL	0.582	0.591	221	354	330	0.513	0.522	237	361	341

模型	测试次数	MAE	RMSE
Rayleigh	1 000	0.351	0.432
Rician	1 000	0.645	0.735
Nakagami	1 000	0.585	0.675
Weibull	1 000	0.535	0.645
TWDP	1 000	0.564	0.653
Gaussian	1 000	0.323	0.433

模型	测试次数	最优解平均MAE	MAE达到0.9概率	收敛时间/ms	解空间搜索覆盖率	线程数	测试运行时间/s
EWCFM-CME	1 000	0.914	95.6%	32	52%	4	135
布谷鸟搜索	1 000	0.911	96.3%	455	96%	4	215
遗传搜索算法	1 000	0.904	97.8%	335	97%	1	1 535
贝叶斯概率估计	1 000	0.731	0	1	/	1	10
梯度下降	1 000	0.766	1.3%	3	<0.1%	1	11
模拟退火	1 000	0.90	50.7%	267	51%	1	1 663

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

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 21

Related Articles 15

Metrics

Recommended 0

[1]	Jiawei HU, Xiaoqian LIU, Xinke TANG, Yuhan DONG. Trajectory planning of UUV-assisted UWOC systems based on DQN [J]. Telecommunications Science, 2023, 39(5): 42-47.
[2]	Qingfeng DING, Song WANG. Distributed IOS-SM transmission scheme with joint antenna and IOS unit selection for high-speed railway scenario [J]. Telecommunications Science, 2023, 39(4): 31-42.
[3]	Yueyu JIANG, Haoxin CHENG, Kang WANG, Wenjun DAI, Xiaoyu LIU. Design method of energy efficiency optimization in PLC-RF wireless transmission networks [J]. Telecommunications Science, 2023, 39(4): 111-119.
[4]	Mingrui XU, Yucai YAO, Xiaorong ZHU. A Fisco-Bcos platform based accurate performance analysis model of blockchain system [J]. Telecommunications Science, 2023, 39(1): 79-91.
[5]	Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU. Research progress and trends of deep learning based wireless communication receiving method [J]. Telecommunications Science, 2022, 38(2): 1-17.
[6]	Nannan LI, Yu HAN, Ning GAO, Shi JIN. Joint amplitude and phase partition based physical layer key generation method [J]. Telecommunications Science, 2021, 37(5): 100-112.
[7]	Jiaqi CAI, Haibin WAN, Youming SUN, Tuanfa QIN. Artificial bee colony algorithm based self-optimization of base station antenna azimuth and down-tilt angles [J]. Telecommunications Science, 2021, 37(1): 69-75.
[8]	Bin LI. Wireless communication network optimization scheme for high-speed railway based on MEC [J]. Telecommunications Science, 2019, 35(11): 88-95.
[9]	Zhefu WU, Han WANG, Cheng CHEN, Zhongyou WANG, Wei HUANG. Indoor sensing technology based on channel state information [J]. Telecommunications Science, 2019, 35(10): 84-91.
[10]	Ke ZHANG,Liu LIU,Ze YUAN,Kun ZHANG,Jianhua ZHANG,Zhijun LIU. Wireless channel and noise characteristics in industrial internet of things [J]. Telecommunications Science, 2018, 34(8): 87-97.
[11]	Fang YANG,Mingfei WEI,Junni ZHOU,Chun WANG,Min WANG. Co-plane coupling-feed compact wideband E-E shaped and half E-E shaped microstrip antenna [J]. Telecommunications Science, 2017, 33(7): 130-135.
[12]	Pengguang ZHOU,Junwei HUANG,Renchi ZHANG,Hao XU. An energy saving clustering algorithm based on artificial bee colony in ultra dense network [J]. Telecommunications Science, 2017, 33(2): 90-97.
[13]	Yunyi LIU,Junhui ZHAO,Chuanyun WANG. Handover technology in high-speed railway broadband wireless communication system [J]. Telecommunications Science, 2017, 33(11): 37-46.
[14]	Chen SHEN,Xuehua LI. Performance of FTH-PPM multiple access technology in 60 GHz wireless communication system [J]. Telecommunications Science, 2017, 33(10): 81-89.
[15]	Qiang LI,Hongxin ZHANG,Jiaqi LUO,Yang LU,Jianqi LI,Yinghua LV. Modeling of the 2.4 GHz wireless channel path loss in substation [J]. Telecommunications Science, 2016, 32(7): 34-39.