摘要
受到局域网异常数据掺杂噪声的影响,传统无线局域网异常通信识别系统,无法有效识别噪声干扰下的异常通信数据特征,影响系统对故障点的分析计算,降低系统识别灵敏度。针对此问题,提出无线局域网的舰船异常数据通信识别系统设计。首先,优化无线局域网异常数据识别硬件,建立信号数据分离交互框架,为软件算法的噪声分离提供计算平台;接着,引入异常数据特征噪声分离算法,滤除异常数据特征量中的噪声;然后,优化网络识别器,提升对异常数据特征的感知系数,提升识别灵敏度。最后,通过与传统异常数据识别系统的对比实验,证明设计系统的有效性。
Due to the influence of local area network abnormal data adulteration noise, the traditional wireless LAN abnormal communication identification system can not effectively identify the abnormal communication data characteristics under noise interference, which affects the analysis and calculation of fault points and reduces the system identification sensitivity. In order to solve this problem, the design of communication and recognition system for ship abnormal data based on WLAN is proposed. Firstly, optimize the WLAN abnormal data recognition hardware, establish the signal data separation interaction framework, and provide a computing platform for the software algorithm noise separation;secondly, introduce the abnormal data feature noise separation algorithm to filter out the noise in the abnormal data feature quantity;then, optimize the network recognizer to enhance the perception coefficient of abnormal data features and enhance the recognition sensitivity.Finally, the effectiveness of the design system is proved by comparing with the traditional abnormal data recognition system.
作者
闫伟丽
YAN Wei-li(Inner Mongolia Vocationa and Technical College of Communications,Chifeng 024006,China)
出处
《舰船科学技术》
北大核心
2021年第4期157-159,共3页
Ship Science and Technology
基金
内蒙古自治区高等学校科学研究项目(NJ10106)
关键词
无线局域网
异常数据
识别系统
wireless LAN
abnormal data
identification system
