摘要
为了解决传统载波通信扰动检测装置检测结果误差率高的问题,设计基于数据挖掘的载波通信扰动自动检测装置。首先选择数据处理能力较强的DSP作为核心处理器,以此设计模拟前端,对载波信号进行前端处理,连接高阶无源带通滤波,加入一种联合USB数据采集卡,将处理后的载波信号进行初始化,并在载波通信检测时融入数据挖掘算法,完成对载波通信扰动自动检测装置的设计。实验设计所需相关参数,检测并统计载波通信扰动自动检测装置和传统检测装置检测结果的误差率。实验结果表明:与传统检测装置相比,基于数据挖掘的载波通信扰动自动检测装置检测结果的误差率为4%,比传统检测装置误差率低了12%,减小了检测结果的误差。
In order to solve the problem of high error rate of detection results of traditional carrier communication disturbance detection device,an automatic detection device of carrier communication disturbance based on data mining is designed.Firstly,the DSP with strong data processing ability is chosen as the core processor.On this basis,the analog front-end is designed to process the carrier signal and connect the high-order passive band-pass filter.On this basis,a joint USB data acquisition card is added to initialize the processed carrier signal and detect the carrier communication.Time measurement is integrated with data mining algorithm to complete the design of automatic detection device for carrier communication disturbance.The experimental design of the relevant parameters,detection and statistics of carrier communication disturbance automatic detection device and traditional detection device detection error rate.The experimental results show that compared with the traditional detection device,the error rate of the detection result of the carrier communication disturbance automatic detection device based on data mining is 4%,12%lower than that of the traditional detection device,which reduces the error of the detection result.
作者
王斌
杨抒
达新民
赵毅
WANG Bin;YANG Shu;DA Xinmin;ZHAO Yi(Xinjiang Agricultural University,Xijiang Urunuji 830052,China)
出处
《自动化与仪器仪表》
2020年第6期59-63,共5页
Automation & Instrumentation
基金
厅局级-新疆农业大学校前期资助课题(No.XJAU201426)。
关键词
数据挖掘
载波通信
扰动
自动检测
data mining
carrier communication
disturbance
automatic detection
