首页> 外文会议>2010 International Conference on Multimedia Technology >Exponential Weighted Collaborative Spectrum Sensing Based on SNR
【24h】

Exponential Weighted Collaborative Spectrum Sensing Based on SNR

机译:基于信噪比的指数加权协同频谱感知

获取原文
获取外文期刊封面目录资料

摘要

The CR node in depth fading is possible to have serious false alarm or missed when using conventional collaborative spectrum sensing method. These error messages will be fully included in the final collaborative decision, which will seriously affect the performance of collaborative sensing. So,a new exponential weighted collaborative spectrum sensing based on SNR is proposed and studied as a means to combat such effects. Computer simulation results show that this method can reduce the influence of low SNR where we supposing lower than -23dB in the collaborative sensing and outperforms the conventional method.
机译:当使用常规协作频谱感测方法时,深度衰落中的CR节点可能会出现严重的误报或丢失。这些错误消息将完全包含在最终的协作决策中,这将严重影响协作感知的性能。因此,提出并研究了一种新的基于信噪比的指数加权协作频谱感知技术,以克服这种影响。计算机仿真结果表明,该方法可以降低低SNR的影响,在协作感知中我们假设该值低于-23dB,并且优于传统方法。

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