基于指数信任度函数的频谱感知改进算法

从多个用户合作感知的角度出发，针对目前的融合规则没有考虑感知结果的信任度，对现有的分布式感知算法进行改进,提出基于指数信任度的频谱感知算法；在认知无线电网络安全方面，将异常点感知引入到感知融合规则中，在指数信任度算法的基础上提出一种基于异常点的频谱感知算法，能抵御认知无线网络中出现故障的或者恶意认知用户；在提高感知速度和可靠性方面，结合指数信任度算法和异常点感知算法，将对感知信息的审核引入到频谱感知算法中，提出一种基于审核的频谱感知算法，该算法在提高感知速度的基础上能获得更好的感知性能。

Improved spectrum sensing algorithm based on index belief degree function

This paper studied the spectrum sensing algorithms mainly from the perspective of multiple cognitive radio users. At present, most decision rules do not take the influence of the trust of spectrum sensing results into consideration. This paper proposed a new sending scheme based on index belief degree function. This scheme is a method of low complexity to improve the performance of spectrum sensing. Considering the security in cognitive radio network, this paper presented a cognitive radio spectrum algorithm based on outlier. This algorithm introduced outlier sensing to the fusion rules and this scheme could improve the robustness of spectrum sensing when some sensing nodes were malfunctioned or malicious. Considering the speed and precision of spectrum sensing in cognitive radio, this paper considered the sensing information to the spectrum sensing algorithm. This algorithm can improve the detection performance of spectrum sensing while accelerating the speed of spectrum sensing.