【摘要】：在雷擊信號準(zhǔn)確采集的研究中,無線網(wǎng)絡(luò)受到雷擊后,會導(dǎo)致信號突變,突變的周期很短。傳統(tǒng)的信號采集方法采用提高采集頻率的方法對這種瞬時信號進(jìn)行采集,存在較大漏檢風(fēng)險。為提高采集精度,提出采用小波模糊網(wǎng)絡(luò)算法的無線網(wǎng)絡(luò)雷擊信號快速采集方法。針對無線傳感網(wǎng)絡(luò)采集到的所有信號進(jìn)行濾波處理,提取信號特征,并針對信號特征進(jìn)行微分變換,能夠得到濾波處理結(jié)果。將上述濾波處理結(jié)果輸入到小波模糊網(wǎng)絡(luò)模型中,獲取雷擊信號特征向量和對應(yīng)的檢測誤差,針對檢測誤差進(jìn)行補(bǔ)償,實現(xiàn)無線網(wǎng)絡(luò)信號更新,模型的輸出結(jié)果是無線網(wǎng)絡(luò)雷擊信號。實驗結(jié)果表明,利用改進(jìn)算法進(jìn)行無線網(wǎng)絡(luò)雷擊信號檢測,能夠?qū)讚粜盘栴l率進(jìn)行準(zhǔn)確的分析,提高采集的準(zhǔn)確性。
[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.
【作者單位】： 湖南工業(yè)大學(xué)網(wǎng)絡(luò)中心;
【基金】：科技部公益性行業(yè)(氣象)科研專項(GYHY201206033)
【分類號】：P427.4;TN911.7

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