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针对单节点频谱感知受噪声、阴影、多径效应结合“隐藏终端”的影响,检测准确性低以及现存协作频谱感知算法大多采用等权重进行数据融合,未考虑不同节点所处的网络环境对检测性能的影响等问题,提出一种基于向光性的多门限加权协作频谱感知算法。由于植物可以通过对光源的感知自适应地调整生长素分布来改变植物的向光位置,以获得最佳生长状态,文章将这一原理引入,解决了传统协作式频谱感知算法不能适应环境变化的问题,提高了频谱检测性能。仿真结果表明,文章所提出的频谱感知方法同“与”“或”协作频谱感知算法相比性能提高。
In view of the influence of noise, shadow and multipath effect combined with “hidden terminal ”, the detection accuracy of single-node spectrum sensing is low and the existing collaborative spectrum sensing algorithms mostly use equal weights for data fusion without considering the network environment in which different nodes are located On the detection performance and other issues, this paper proposes a multi-threshold weighted cooperative spectrum sensing algorithm based on the light. Because plants can adjust the auxin distribution by altering the auxin distribution through perception of the light source, the author can change the light position of the plant to obtain the best growth state. The article introduces this principle and solves the problem that the traditional cooperative spectrum sensing algorithm can not adapt to the environmental change Problem, improve the spectral detection performance. Simulation results show that the performance of the proposed spectrum sensing method is improved compared with the cooperative spectrum sensing algorithm of “” and “” or “”.