无线网络雷击信号快速采集方法研究与仿真

Research and Simulation of Lightning Signal Rapid Acquisition Method for Wireless Network

在雷击信号准确采集的研究中,无线网络受到雷击后,会导致信号突变,突变的周期很短。传统的信号采集方法采用提高采集频率的方法对这种瞬时信号进行采集,存在较大漏检风险。为提高采集精度,提出采用小波模糊网络算法的无线网络雷击信号快速采集方法。针对无线传感网络采集到的所有信号进行滤波处理,提取信号特征,并针对信号特征进行微分变换,能够得到滤波处理结果。将上述滤波处理结果输入到小波模糊网络模型中,获取雷击信号特征向量和对应的检测误差,针对检测误差进行补偿,实现无线网络信号更新,模型的输出结果是无线网络雷击信号。实验结果表明,利用改进算法进行无线网络雷击信号检测,能够对雷击信号频率进行准确的分析,提高采集的准确性。

Signal mutation will happen when wireless networks are struck by hghtning, and the mutation cycle is very short. Traditional signal acquisition methods obtain the instantaneous signals by improving the sampling frequency, which may result in a big residual risk. A lightning signal rapid acquisition method for wireless network is proposed based on fuzzy wavelet network. All collected signals of the wireless sensor networks are filtered, and the signal features are extracted. Through a differential transformation for the extracted signal features, the filtered results are obtained. Then the filtered results are inputted to the fuzzy wavelet network model, the lightning signal feature vector and the corresponding detection error are obtained. Based on the detection error compensation, the wireless network signals are updated. The outputs of the model are wireless network lightning signals. Experimental results show that the proposed algorithm can carry on the accurate analysis of lightning signal frequency and improve the accuracy of the signal acquisition.