随机波动水下传感网络异常信号衰退测量方法

A method for measuring abnormal signal decay in random wave underwater sensor networks

传统网络异常信号衰退测量方法中采用的测量算法无法对动态传感数据信号状态进行准确识别,导致传感网络异常信号衰退测量整体状态下降,可行性降低。针对上述问题提出随机波动水下传感网络异常信号衰退测量方法。首先针对随机波动的异常信号特征,引入多特征异常衰退信号识别算法,对全局信号进行多特征计算,准确对异常衰退信号进行特征化提取建模;然后,引入光导衰退信号定位算法对特征下衰退信号进行系统化计算转换,达到准确定位异常衰退信号的目的。通过仿真实验对提出方法中的算法进行误码率均值对比测试,证明提出方法的准确性与可行性。

The traditional measurement method of abnormal signal fading in network can not accurately identify the state of dynamic sensing data,which leads to the decline of the overall state of abnormal signal fading measurement in sensor network and the decrease of the feasibility.Aiming at the above problems,a method of anomalous signal fading measurement for stochastic fluctuation underwater sensor networks is proposed.Firstly,aiming at the abnormal signal characteristics of random fluctuation,a multi-feature abnormal fading signal recognition algorithm is introduced to calculate the multi-feature of the global signal and accurately extract and model the abnormal fading signal.Secondly,a photoconductive fading signal localization algorithm is introduced to systematically calculate and convert the fading signal under the feature.The purpose of locating abnormal fading signals accurately.The comparison test of the mean error rate of the proposed method is carried out through simulation experiments,which proves the accuracy and feasibility of the proposed method.