传感网络中雷击信号准确检测仿真分析

Simulation Analysis of Accurate Detection for Lightning Signal in Sensor Network

对传感网络中的雷击信号进行准确检测,可以有效保护网络中的传感器节点,保障人员和财产的安全。由于无线传感网络多出在户外活动区域,面临雷击的风险很大,传感网络在雷击后的信号会存在短暂非周期性突变。当前的雷击信号检测算法,采用增加周期性采集频率的方法来采集瞬时突变信号,无法对非周期的信号突变进行有效处理,导致检测不准确,漏检率高的问题。提出一种应用小波分析去噪处理的雷击信号快速采集方法,通过均值滤波方法对雷击信号特征进行初步去噪处理,采用小波分析方法再次过滤雷击信号特征中的噪声,将雷击信号特征划分成高频和低频两个部分,将频率较低的雷击信号特征和频率较高的噪声分离,实现雷击信号特征的二次去噪处理,极大增强了雷击信号特征的信噪比。采用改进加性随机采样方法实现无线网路中的雷击信号的快速采集。仿真结果表明,改进方法具有较强的鲁棒性和准确性,可在扰动环境下,实现雷击信号的快速准确识别。

A fast acquisition method of lightning signal by using wavelet analysis and denoising processing is pro- posed. By means of the mean filtering method, the characteristics of lightning signal are made initial denoising pro- cessing. Wavelet analysis method is used to filter the noise in the characteristics of lightning signal. The characteris- tics of lightning signal are divided into two parts： high frequency and low frequency, the characteristics of lightning signal with low frequency and the noise with higher frequency are separated, the second denoising processing of the characteristics of lightning signal is realized, which can greatly enhance the signal to noise ratio of the characteristics of lightning signal. By using the improved additive random sampling method, the fast acquisition of lightning signal in wireless network is realized. The simulation results show that the improved method has strong robustness and high ac- curacy, and it can realize the fast and accurate identification of lightning signal in the disturbed environment.