移动通信2024，Vol.48Issue(11)：35-44,85,11.DOI:10.3969/j.issn.1006-1010.20240923-0003
基于卫星遥感资料的近海海上通信环境研究
Research on the Offshore Marine Communication Environment Based on Satellite Remote Sensing Data
摘要
Abstract
Air-sea interface fluxes significantly impact the reliability and efficiency of maritime communication.Compared to sparse in-situ ocean observations,satellite remote sensing data offers broader coverage and extended temporal span.This study utilizes COARE V3.5 algorithm to calculate momentum flux,sensible heat flux,and latent heat flux at the air-sea interface,based on satellite synthetic aperture radar(SAR)wind speed data,reanalysis data,and buoy measurements,combined with neural network methods.Findings indicate that SAR wind speed data corrected via neural networks show improved consistency with buoy-measured wind speeds in flux calculations.Specifically,the bias in friction velocity decreased from-0.03 m/s to 0.01 m/s,wind stress bias from-0.03 N/m² to 0.00 N/m²,drag coefficient bias from-0.29 to-0.21,latent heat flux bias from-8.32 W/m² to 5.41 W/m²,and sensible heat flux bias from 0.67 W/m² to 0.06 W/m².Results suggest that the neural network-corrected SAR wind speed data can provide more reliable environmental data for maritime communication.关键词
卫星遥感/海气通量/海上通信环境/神经网络Key words
satellite remote sensing/air-sea flux/marine communication environment/neural network分类
电子信息工程引用本文复制引用
倪晗玥,杨劲松,任林,李晓辉,董昌明,陈文..基于卫星遥感资料的近海海上通信环境研究[J].移动通信,2024,48(11):35-44,85,11.基金项目
国家自然科学基金"近岸条件下北斗导航反射信号海面风速反演能力增强机制研究"(42306200) （42306200）
国家自然科学基金-青年科学基金项目"基于深度学习的热带气旋风场重构及风暴潮模拟"(42306216) （42306216）
国家重点研发计划项目"环境遥感巡查与立体智能感知"(2022YFC3103101) （2022YFC3103101）
