基于独立分量分析的物联网多设备通信干扰抑制方法

通信干扰信号的增多，严重影响到了物联网多设备的正常通信，因此提出基于独立分量分析的物联网多设备通信干扰抑制方法。物联网多设备通信系统的干扰信号通过梳状滤波器和功率放大器转变为梳状阻塞干扰信号，通过独立分量分析的混合模型、解混模型和假设条件实现干扰信号独立分量分析，分离物联网多设备跳频信号和梳状阻塞干扰信号，实现干扰抑制。实验结果表明，该方法对混合信号的分离效果好，能有效抑制物联网多设备通信中的梳状阻塞干扰。

Interference Suppression Method of Internet of Things Multi Device Communication based on Iindependent Component Analysis

The increase of communication interference signals has seriously affected the normal communication of multi devices in the Internet of things. Therefore, an independent component analysis based method for interference suppression of multi devices in the Internet of things is proposed. The interference signal of the multi equipment communication system of the Internet of things is transformed into comb jamming signal through comb filter and power amplifier. The independent component analysis of the interference signal is realized through the mixed model, Unmixing Model and assumption conditions of the independent component analysis, and the frequency hopping signal and comb jamming signal of the multi equipment of the Internet of things are separated to achieve interference suppression. The experimental results show that this method has good separation effect on mixed signals and can effectively suppress comb blocking interference in multi device communication of the Internet of things.