基于改进SPM的海上NB-IoT覆盖研究

胡正; 陈褒丹; 任佳; 樊雨沛; 汪炼

doi:10.11959/j.issn.1000-436x.2019079

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基于改进SPM的海上NB-IoT覆盖研究

专题：海洋信息感知、传输与融合 | 更新时间：2024-06-05

- 基于改进SPM的海上NB-IoT覆盖研究
- Research on sea surface NB-IoT coverage based on improved SPM
- 通信学报 2019年40卷第4期页码：21-32
- 作者机构：
  
  1. 海南大学信息科学技术学院，海南海口 570228
  2. 勃艮第大学LE2I实验室，法国第戎 21078
- 作者简介：
  
  [ "胡正（1991- ），男，安徽黄山人，法国勃艮第大学研究助理，主要研究方向为海洋通信、5G通信技术、数字信号处理。" ]
  [ "陈褒丹（1962- ），男，海南海口人，海南大学高级工程师，主要研究方向为海上通信、电视与通信信号处理、南海无线电频谱测量等。" ]
  [ "任佳（1981- ），男，新疆哈密人，博士，海南大学教授，主要研究方向为网络通信、人工智能与机器学习。" ]
  [ "樊雨沛（1993- ），女，山西运城人，海南大学硕士生，主要研究方向为海上通信。" ]
  [ "汪炼（1996- ），男，湖北黄冈人，海南大学硕士生，主要研究方向为嵌入式与智能系统。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61562018);国家自然科学基金资助项目(61561018);海南省自然科学基金资助项目(613156);海南省自然科学基金资助项目(614227)
- DOI：10.11959/j.issn.1000-436x.2019079
  中图分类号： TP391.9
- 网络出版日期：2019-04，
  
  纸质出版日期：2019-04-25
- 稿件说明：
移动端阅览
胡正, 陈褒丹, 任佳, 等. 基于改进SPM的海上NB-IoT覆盖研究[J]. 通信学报, 2019,40(4):21-32.

Zheng HU, Baodan CHEN, Jia REN, et al. Research on sea surface NB-IoT coverage based on improved SPM[J]. Journal on communications, 2019, 40(4): 21-32.
胡正, 陈褒丹, 任佳, 等. 基于改进SPM的海上NB-IoT覆盖研究[J]. 通信学报, 2019,40(4):21-32. DOI： 10.11959/j.issn.1000-436x.2019079.

Zheng HU, Baodan CHEN, Jia REN, et al. Research on sea surface NB-IoT coverage based on improved SPM[J]. Journal on communications, 2019, 40(4): 21-32. DOI： 10.11959/j.issn.1000-436x.2019079.

摘要

针对电磁波海上传播的特性，在 SPM 的基础上提出一种改进的海面传播模型，同时提出一种基于WLS算法的传播模型校正算法，并利用琼州海峡海面CW测试数据对改进SPM参数进行校正。根据校正后的传播模型，利用琼州海峡海岸现有基站对 NB-IoT 覆盖进行链路级仿真和覆盖仿真。实验结果表明，所提方法能有效地实现对琼州海峡的 NB-IoT 覆盖，对于 NB-IoT 网络实际部署具有指导意义，有助于海上物联网的科学研究。

Abstract

Based on the standard SPM

an improved sea surface propagation model was proposed.At the same time

a propagation model correction algorithm based on WLS algorithm was proposed.Using the CW test data of Qiongzhou Strait

the parameters of the improved SPM were corrected.Based on the corrected propagation model

the current base station of Qiongzhou Strait coast was used to carry out link level simulation and coverage simulation for NB-IoT.The experimental results show that the proposed method can effectively achieve the coverage of NB-IoT in Qiongzhou Strait and contribute to the scientific research of Internet of things.

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