Research of double-threshold spectrum sensing algorithm based on D-S theory
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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。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.
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Key words:
- cognitive radio /
- D-S theory /
- double-threshold spectrum sensing /
- credibility
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