基于D—S理论的双门限频谱感知算法研究

基金项目:

江苏省“六大人才高峰”高层次人才项目（DZXX-048）

详细信息

Research of double-threshold spectrum sensing algorithm based on D-S theory

1.
Technology Center, Xishan Coal Electricity (Group) Co., Ltd., Taiyuan 030000, China
2.
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, Chi

摘要: 针对传统双门限频谱感知算法不能充分利用2个门限之间感知用户信息的问题，提出了一种基于D-S理论的双门限频谱感知算法。当感知用户接收到的信号能量介于2个门限之间时，该算法不直接给出判决结果，而是进行本地判决，即采用D-S理论进行数据融合。仿真结果表明，与传统双门限频谱感知算法相比，基于D-S理论的双门限频谱感知算法的检测概率较高，提高了整体的频谱感知性能。
- 认知无线电 /
- D-S理论 /
- 双门限频谱感知 /
- 可信度
Abstract: In view of problem that traditional double-threshold spectrum sensing algorithm cannot make full use of information of sensing users between two thresholds, the paper proposed a double-threshold spectrum sensing algorithm based on D-S theory. When signal energy received by the sensing users lies between the two thresholds, the algorithm does not give judging result directly but makes local judgment, namely it uses D-S theory to make data fusion. Simulation result shows that detection probability of double-threshold spectrum sensing algorithm based on D-S theory is higher than one of the traditional double-threshold spectrum sensing algorithm, which improves performance of spectrum sensing.
- cognitive radio /
- D-S theory /
- double-threshold spectrum sensing /
- credibility