无线网络雷击信号快速采集方法研究与仿真

发布时间：2018-10-09 09:25

【摘要】：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。
[Abstract]:In the research of accurate acquisition of lightning strike signal, the wireless network will lead to signal mutation after lightning strike, and the period of sudden change is very short. The traditional signal acquisition method uses the method of increasing the acquisition frequency to collect the instantaneous signal, which has a great risk of missing detection. In order to improve the acquisition accuracy, a fast acquisition method of lightning strike signal in wireless network using wavelet fuzzy network algorithm is proposed. All the signals collected by the wireless sensor network are filtered, the signal features are extracted, and the signal features are transformed by differential transformation, and the filtering results can be obtained. The above filtering results are input into the wavelet fuzzy network model to obtain the characteristic vector of lightning stroke signal and the corresponding detection error, to compensate for the detection error, and to realize the wireless network signal updating. The output of the model is lightning strike signal of wireless network. The experimental results show that the improved algorithm can accurately analyze the frequency of lightning strike signal and improve the accuracy of collection.
【作者单位】：湖南工业大学网络中心;
【基金】：科技部公益性行业(气象)科研专项(GYHY201206033)
【分类号】：P427.4;TN911.7

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