The energy block mutation detection theory is adopted in the traditional detection method of lightning stroke sig-nal in sensing network to acquire the signal,which has a defect of the limited length observation,and is unable to accurately realize the detection of the lightning stroke signal. The accurate detection method of cloud lightning stroke signal in wireless sen-sor network(WSN)is proposed,which is based on cyclic spectrum theory. The detection of the lightning stroke signal in the fi-nite length observation data is taken as the binary construction test according to the cyclic spectrum theory. Based on the feature of the signal,the lightning stroke signal is detected by judging whether non-zero cyclic frequency is existed. The asymptotic opti-mal test method of detecting the cyclic frequency is introduced. A feasible cyclic frequency discrimination scheme is proposed, which is detecting scheme of obtaining the cloud stroke lightning signal in wireless sensing network. The simulation results show that the proposed method can suppress noise effectively,and has good detection performance for the lightning stroke signal at low SNR.%传统传感网络雷击信号检测方法采用能量块突变检测理论进行采集,存在有限长观测缺陷,无法准确实现雷击信号的检测.提出基于循环谱理论的无线传感网络中云层雷击信号准确检测方法,依据循环谱理论,将有限长观测数据中检测雷击信号的问题看作是二元建设检验,基于雷击信号的特征,通过判断是否存在非零循环频率对雷击信号进行检测.引入检测循环频率的渐近最优检验方法,提出一种可行的循环频率判别方案,获取无线传感网络中云层雷击信号检测方案.仿真实验结果表明,所提方法可有效抑制噪声,在低信噪比下对于雷击信号具有较好的检测性能.
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