水声信道跳频通信系统异常跳变检测模型仿真

Simulation of Abnormal Jump Detection Model for Underwater Acoustic Channel Frequency Hopping Communication System

水声信道跳频通信是当前水中通信的重要模式,对通信系统进行异常跳变检测意义重大。当前相关研究成果存在抗干扰性能较差、假阳性率较高的问题,提出基于数据拟合的水声信道跳频通信系统异常跳变检测模型。分析水声信道跳频通信系统,并介绍此种通信系统的优点。利用小波分析法去除通信系统噪声信号,通过逆变换实现信号重构,完成去噪操作,并获取水声信道跳频通信系统信号数据,利用matlab对数据进行拟合,获得正常跳变与异常跳变状态的概率密度分布函数。根据概率密度函数,将最大后验概率当作异常跳变判断标准,即将其当作异常跳变检测模型,实现异常跳变检测。仿真结果表明,所建模型抗干扰性能强、检测精度高,是一种可靠性很强的通信系统异常跳变检测模型。

At present,the underwater acoustic channel frequency hopping communication is an important mode of underwater communication,which has great significance to the abnormal jump detection on abnormal jump.Due to poor anti-interference performance and high false positive rate,this paper puts forward a model to detect the abnormal jump in underwater acoustic channel frequency hopping communication system based on data fitting.At first,we analyzed the underwater acoustic channel frequency hopping communication system and introduced the advantage of this communication system.Secondly,we used the wavelet analysis method to remove the noise signal of communication system,so that the signal reconstruction was realized by inverse transform and the noised noise removal was completed.On this basis,we found the signal data of underwater acoustic channel frequency hopping communication system,and then we used Matlab to fit the data.Meanwhile,we obtained the probability density distribution function of normal jump and abnormal jump.According to the probability density function,we regarded the maximum posterior probability as the judgment criterion for abnormal jump,namely the abnormal jump detection model.Thus,we achieved the abnormal jump detection.Simulation results show that the proposed model has strong anti-interference performance and high detection accuracy.It is a model to detect the abnormal jump in communication system with strong reliability.