A Two-Stage Model for Enhanced Prediction of Received Signal Strength in Maritime Environments

被引：0

作者：

Noh, Eonsu ^{[1
]}

Park, Jaedon ^{[1
]}

机构：

[1] Agcy Def Dev, Daejeon 34060, South Korea

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2024年 / 23卷 / 08期

关键词：

Predictive models; Computational modeling; Mathematical models; Sea measurements; Fading channels; Marine vehicles; Vectors; Fading; machine learning; maritime wireless communications; neural network; radio propagation model; PATH-LOSS PREDICTION; MACHINE; ALGORITHM;

D O I：

10.1109/LAWP.2024.3398800

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Maritime environments cause inaccurate prediction of received signal strength (RSS) by occurring fading. In this letter, we propose a two-stage model consisting of a ray trajectory-based model and a feedforward neural network. Two independent models ensemble to predict RSS, considering both large- and small-scale fading caused by maritime environments. The proposed model accurately predicts RSS compared with other machine learning models.

引用

页码：2531 / 2535

页数：5

共 28 条

[1] Maritime Communications: A Survey on Enabling Technologies, Opportunities, and Challenges [J].