摘要
针对宽带频谱认知无线电环境中,传统能量检测法在信噪比较低时,容易出现误检而使系统的检测性能下降的问题,文中提出了一种新型高性能的协作频谱感知算法,它是基于压缩理论的多节点频谱感知方法,各节点之间采用基于双判决门限的协作方式.仿真结果显示,双门限协作压缩频谱感知算法在低信噪比的情况下,检测性能明显优于传统能量检测法.
In view of easily leading to failure to test, and lead to the test performance of the system degradating by the traditional energy detection method in low SNR, this paper presents a new high-performance cooperative spectrum sensing algorithm, which is spectrum sensing method based on multi-node compression theory, and cooperative mode which has two thresholds is used between the nodes. Thesimulation results show that cooperative compressed sensing algorithm with double-threshold has better detection performance than the traditional energy detection method in low SNR.
出处
《电子设计工程》
2015年第15期133-136,共4页
Electronic Design Engineering
基金
中央高校专项基金(13D10410)
关键词
认知无线电
压缩感知
协作
双门限
cognitive radio
compressed sensing
collaboration
double-threshold
