移动通信2024，Vol.48Issue(9)：1-7,7.DOI:10.3969/j.issn.1006-1010.20240726-0001
基于通信导频数据环境识别研究
Research on Communication Pilot Data Environment Recognition
水宜水 1王健 1张欣 1苏宝睿 1易朗宇 1朱庆 1卢毅1
作者信息
- 1. 中国电子科技集团公司第七研究所,广东 广州 510310
- 折叠
摘要
Abstract
Based on the real communication equipment,the pilot data for channel equalization is obtained by modifying the physical layer protocol,and the delay power spectrum of the channel is obtained through the mathematical processing of the pilot data.Then,this paper conducts field measurements of the office environment with dense buildings,the environment of frontage roads and the suburban environment with sparse buildings,and based on the measured delay power spectrum data,the delay power spectrum image data is obtained through data processing for the learning and verification of the three environmental identifications.Finally,the ResNet50 deep network is constructed by deep learning,and the data are trained and verified,and the simulation results show that the recognition accuracy of the three environments can reach 90.31%.In this paper,the research on environment recognition based on pilot data is applicable to the integrated upgrade of real communication equipment,which can realize the recognition of the environment by transplanting the training model without the need for communication protocol reconstruction.关键词
深度学习/导频/时延功率谱/环境识别Key words
deep learning/pilot/delay power spectrum/environmental identification分类
电子信息工程引用本文复制引用
水宜水,王健,张欣,苏宝睿,易朗宇,朱庆,卢毅..基于通信导频数据环境识别研究[J].移动通信,2024,48(9):1-7,7.
