• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Automatic Control and Dynamic Optimization Techniques >Cooperative spectrum sensing algorithm based on Katz fractal dimension
【24h】

Cooperative spectrum sensing algorithm based on Katz fractal dimension

机译：基于Katz分形维数的协作频谱感知算法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Communication signal and noise's waveform can be described and distinguished by fractal theory with their irregular characteristics. In current cognitive radio system, single node spectrum sensing is susceptible to noise uncertainty and its detection accuracy in low SNR situation is poor. To solve these issues, a cooperative spectrum sensing algorithm based on Katz fractal dimension is proposed. It detects Primary user's signals that is according to the difference between noise and Katz fractal dimension's characteristics in frequency domain multi-user environment. Simulations and analyses of the proposed method show some advantages by comparing with cooperative spectrum sensing algorithm based on box dimension and traditional energy detection method, such as insensitive to noise uncertainty, high detection accuracy in low SNR situations, not requiring for priori knowledge of primary user, and less affected by modulation parameters.
机译：分形理论可以通过不规则的特征来描述和区分通信信号和噪声的波形。在当前的认知无线电系统中，单节点频谱感测易受噪声不确定性的影响，并且在低信噪比情况下其检测精度较差。为了解决这些问题，提出了一种基于Katz分形维数的协作频谱感知算法。它根据频域多用户环境中的噪声和Katz分形维数特性之间的差异来检测主要用户的信号。与基于盒维的协作频谱感知算法和传统的能量检测方法相比，该方法的仿真和分析显示出一些优势，例如对噪声不确定性不敏感，在低SNR情况下具有较高的检测精度，不需要初级用户的先验知识。 ，并且受调制参数的影响较小。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号