摘要
协作频谱感知算法可以有效改善隐蔽终端、阴影效应以及接收机不确定性的影响。但是,传统的协作频谱感知算法都是建立在假设每个认知节点都处于相同的无线电环境中,并没有考虑比较恶劣环境中认知节点的信噪比问题。针对这一问题提出一种基于信噪比选择的改进式协作感知算法,通过对无线电环境中不同认知节点接收信噪比的筛选改善协作频谱感知的效果。理论和仿真验证都证明该方法可以改善频谱感知的性能,并且减少了参与协作感知的用户数目。
Cooperation spectrum sensing algorithm can reduce hidden terminal,shadow effect,and uncertainty receiver effectively. However, in traditional cooperation spectrum sensing algorithm every CR nodes is supposed to be in the same radio environment,which ignores CR nodes＇ SNR problem in bad environment. To solve this problem,a method is introduced to choose CR nodes＇ SNR in radio environment for improving the effect of cooperation spectrum sensing. Experimental and simulation results show that the proposed algorithm can improve the spectrum sensing performance,which reduces the number of users in cooperation.
出处
《沈阳理工大学学报》
CAS
2016年第2期24-29,共6页
Journal of Shenyang Ligong University
