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.
出处
《计算机工程》
CAS
CSCD
2012年第14期89-92,共4页
Computer Engineering
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
cognitive radio
fractal theory
box dimension
cooperative sensing
dynamic selecting strategy
