基于分形维数的动态合作感知  

Dynamic Cooperative Sensing Based on Fractal Dimension

作　　者：王润亮[1] 黄焱[1] 丁金忠[1] 张永超 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002 [2]75775部队,广州510010

出　　处：《计算机工程》2012年第14期89-92,共4页Computer Engineering

摘　　要：通信信号和噪声具有不规则度,可通过分形来刻画并加以区分,对分形理论进行研究,提出一种以分形维数为统计量的动态合作感知算法。理论分析和仿真实验结果表明,与传统合作感知算法相比,该算法受网络所处环境影响小,在大部分网络节点都处于较差信噪比环境时仍能够保持较高的检测性能。Since communication signal and noise are different in irregular degree, they can be described and distinguished by fractal dimension. This paper delves into the fractal theory and proposes a dynamic cooperative sensing algorithm based on fractal dimension. All the simulations take the traditional cooperation spectrum sensing algorithm into account as contrast. Theroy analysis and simulation experimental results show that this novel algorithm is hardly affected by circumstance and improves detection capability even when most of the nodes are deployed in low Signal to Noise Ratio（SNR） scenes.

关 键 词：认知无线电 分形理论 盒维数 合作感知 动态选择策略 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]