现代电子技术2024，Vol.47Issue(14)：35-40,6.DOI:10.16652/j.issn.1004-373x.2024.14.006
基于长短期记忆网络的无线通信智能抗干扰研究
Research on intelligent wireless communication anti interference based on long short-term memory networks
史金涛1
作者信息
- 1. 陕西省机关事务服务中心,陕西 西安 710004||西安电子科技大学,陕西 西安 710126
- 折叠
摘要
Abstract
A wireless communication intelligent anti-interference method based on long short-term memory network(LSTM)is proposed to improve the anti-interference ability of wireless communication networks.The basic idea of deep learning communication anti-interference is proposed based on the principle of wireless communication anti-interference.A time-slot spectrum state prediction scheme based on LSTM is used to predict the idle spectrum.The idle frequency band is optimized according to the predicted results to realize frequency-hopping communication.The experimental results show that,in the 3 GHz frequency point,the predicted channel state information and the real channel state information are the same,and the prediction results are consistent with the real results,indicating that the proposed method can accurately predict the channel state of the gap and select the frequency hopping frequency band,which can help users to avoid interference in advance and guarantee the communication quality of users.关键词
无线通信/抗干扰/深度学习/长短期记忆网络/空闲频段/跳频通信/信道状态Key words
wireless communication/anti interference/deep learning/long short-term memory network/idle frequency band/frequency hopping communication/channel status分类
电子信息工程引用本文复制引用
史金涛..基于长短期记忆网络的无线通信智能抗干扰研究[J].现代电子技术,2024,47(14):35-40,6.
