电讯技术2018，Vol.58Issue(4)：370-375,6.DOI:10.3969/j.issn.1001-893x.2018.04.002
基于拉普拉斯先验算法的多维度频谱感知
Multidimensional Spectrum Sensing Based on Laplace Prior Algorithm
俞启明 1金虎 1刘轶凡 1郑文庆1
作者信息
- 1. 国防科技大学 电子对抗学院,合肥230037
- 折叠
摘要
Abstract
The full duplex cognitive radio Listen-and-Talk(LAT) protocol enables secondary users per-form spectrum sensing and data transmission simultaneously.It requires sensing users to make reliable deci-sion on whether the primary user is transmitting under the influence of secondary user.Global power spec-trum model is applied to perform spectrum sensing multi-dimensionally,which can get the location of the current user and its signal's frequency and power.These information can identify the current user.When solving the math model,Laplace prior function is used as the prior probability density function of unknown parameter.Laplace prior algorithm outperforms current algorithms in speed and accuracy.关键词
全双工/认知无线电网络/协作式频谱感知/全局功率谱模型Key words
full duplex/cognitive radio network(CRN)/cooperative spectrum sensing/global power spec-trum model分类
信息技术与安全科学引用本文复制引用
俞启明,金虎,刘轶凡,郑文庆..基于拉普拉斯先验算法的多维度频谱感知[J].电讯技术,2018,58(4):370-375,6.
