船舶通信系统的异常数据检测

Detection of abnormal data in ship communication system

船舶通信系统的传输信道和输出链路层受到码间干扰和多径影响的情况下,容易出现异常数据,导致通信中断和故障,需要进行异常数据检测,提高系统稳定性。提出一种基于频谱特征提取和分数间隔均衡的船舶通信系统异常数据检测方法,基于分数间隔均衡方法构造通信系统的信道均衡模型,采用格型滤波器进行通信系统传输链路的码间干扰滤波,对滤波处理后的输出通信信号进行频谱特征提取,根据频谱特征差异性实现异常数据检测。仿真结果表明,采用该方法进行通信系统异常数据检测的准确概率较高,提高了船舶通信系统的抗干扰能力和信道均衡性,降低输出误码。

When the transmission channel and output link layer of ship communication system are affected by inter symbol interference and multipath, it is prone to abnormal data, which leads to communication interruption and fault. It is necessary to detect abnormal data and improve system stability. This paper presents an anomaly data of ship communication system spectrum feature extraction and detection method based on fractionally spaced equalization, channel equalization model of communication system based on fractionally spaced equalization method, transmission link communication system using lattice filter intersymbol interference filter, the output of the communication signal filtering processed spectrum feature extraction, according to the spectral characteristics difference of abnormal data detection. The simulation results show that the accurate probability of abnormal data detection in communication system is higher, and the anti-jamming ability and channel equalization of ship communication system are improved, and the output error code is reduced.