首页> 外文会议>International Conference on Information and Communications Technologies >Research on noise reduction of Internet of things based on power line using independent component analysis
【24h】

Research on noise reduction of Internet of things based on power line using independent component analysis

机译:基于电力线路使用独立分量分析的基于电力线路降噪研究

获取原文

摘要

In order to reduce the influence of noise in internet of things based on electric power line, an algorithm of improved robust independent component analysis (robustICA) in blind source signal processing was used. The receiver of communication adopts multiplex signals. The correlation of multiple signals was reduced by pre-whitening matrix. Multiple signals were separated by separation matrix estimated by Based on the relaxation factor of robust independent component analysis algorithm. In the end, the data signal was found by the decision threshold. The experiment of simulation of power line channel noise shows that the algorithm can remove noise effectively, SNR get up 2–3 times and the optimized algorithms improve the convergence.
机译:为了减少基于电力线的噪声在互联网上的影响,使用了一种改进的盲源信号处理中的鲁棒独立分析(Robustica)的算法。通信接收器采用多路复用信号。通过预混合前矩阵降低了多个信号的相关性。通过基于鲁棒独立分量分析算法的弛豫系数估计,通过分离矩阵分离多个信号。最后,通过判定阈值找到数据信号。电力线通道噪声仿真实验表明,算法可以有效地消除噪声,SNR启动2-3次,优化的算法提高了收敛性。

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