摘要
为解决我国频谱资源的困境,对认知无线电中频谱预测方法进行研究。对现有的频谱预测技术分类并介绍其基本的预测原理,在此基础上分析并评估各种预测技术的性能,探讨当前的技术障碍及未来的研究热点。结果表明:在认知无线电中运用频谱预测方法能实现频谱感知并改变频谱的接入方式,降低通信消耗,提高信道利用率。
For solving problems of the modern spectrum resources in China,research on spectrum prediction incognitive radio are studied.Existing spectrum prediction techniques are classified,introduce the basic principle ofpredicting,based on this,analyze and evaluate the performance of various forecasting techniques,discuss the currenttechnical obstacles and research hot spots in the future.The results show that the prediction method in cognitive radiospectrum can realize the spectrum perception and change the spectrum access,reduce the communication cost,and improvethe utilization rate of channel.
作者
刘镇鸣
龚晓峰
Liu Zhenming;Gong Xiaofeng(School of Electrical Engineering & Information, Sichuan University, Chengdu 610065, China)
出处
《兵工自动化》
2017年第9期86-89,共4页
Ordnance Industry Automation
关键词
认知无线电
频谱预测
马尔科夫模型
回归分析
神经网络
cognitive radio
spectrum prediction
markov model
regressive analysis
neural network
