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机构地区:[1]解放军理工大学通信工程学院研究生2队 [2]南京电讯技术研究所 [3]中国人民解放军73681部队 [4]南京财经大学管理科学与工程学院
出 处:《军事通信技术》2013年第3期12-15,77,共5页Journal of Military Communications Technology
基 金:国家自然科学基金资助项目(61102092)
摘 要: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。Single node spectrum sensing suffers from the influence of the noise, shadow effect, multi-path fading and "hidden terminal", and enjoys low detection accuracy. Moreover, the current existing cooperative spectrum sensing algorithms mostly adopt equal weight data fusion and do not take into consideration the influence of real network environment where different nodes are located. A multi-threshold cooperative spectrum sensing algorithm was proposed based on phototropism. A plant can adjust its distribution of the auxin by sensing the light source, and then change its phototropie direction to get the best growth condition. The principle was introduced, which can solve the problem that the traditional cooperative spectrum sensing algorithm can't adapt itself to environmental change and improve the detection performance. Simulation resuits show that the proposed algorithm is better than the "and" and "or" traditional cooperative spectrum sensing algorithm.
分 类 号:TN92[电子电信—通信与信息系统]
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