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基于深度学习的无线电作弊信号发现与定位系统
引用本文:李竟铭,赵明杰,翟会,丁国如,张小飞. 基于深度学习的无线电作弊信号发现与定位系统[J]. 数据采集与处理, 2018, 33(6): 1086-1093
作者姓名:李竟铭  赵明杰  翟会  丁国如  张小飞
作者单位:1. 南京航空航天大学电子信息工程学院, 南京, 210016;2. 浙江理工大学信息学院, 杭州, 310018;3. 陆军工程大学通信工程学院, 南京, 210007
基金项目:国家自然科学基金(重点)子课题(61631020)资助项目。
摘    要:随着无线电技术的飞速发展和无线电作弊手段的日新月异,考试中利用无线电设备进行作弊的情况也逐年增加。为保证考试的公平性,如何有效地发现和定位无线电作弊信号、建设智慧考场已成当前迫切需要解决的新课题。鉴于此,在室内定位和频谱监测技术的基础上,本文设计了基于深度学习的无线电作弊信号发现与定位系统,系统实现了无线电作弊设备判决、定位、告警、以及移动终端实时显示等功能,为监考人员提供了直观、远程和实时的考场环境的安全情况,为广大考生创造了一个公平的竞争环境。

关 键 词:无线电作弊信号  智慧考场  室内定位  频谱监测  深度学习
收稿时间:2017-11-07
修稿时间:2018-02-27

Discovery and Location System of Radio Cheating Signal Based on Deep Learning
Li Jingming,Zhao Mingjie,Zhai Hui,Ding Guoru,Zhang Xiaofei. Discovery and Location System of Radio Cheating Signal Based on Deep Learning[J]. Journal of Data Acquisition & Processing, 2018, 33(6): 1086-1093
Authors:Li Jingming  Zhao Mingjie  Zhai Hui  Ding Guoru  Zhang Xiaofei
Affiliation:1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China;2. School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, China;3. College of Communications Engineering, PLA Army Engineering University, Nanjing, 210007, China
Abstract:With the rapid development of radio technology and the rapid change of radio cheating means, the use of radio equipment in the examination of cheating has also increased. In order to ensure the fairness of the examination, how to find and locate the radio cheating signal effectively and construct the intelligent examination room has become a new hot topic that needs to be solved urgently. In view of this, on the basis of indoor location and spectrum monitoring technology, a discovery and location system of radio cheating signal based on deep learning is designed in this paper, which realizes the functions of judgment, location, alarm for the radio cheating signal, and real-time displaying on the mobile terminals. The system provides an intuitive, remote and real-time examination environment for invigilators, and creates a fair competition environment for the examinees.
Keywords:radio cheating signal  intelligent examination environment  indoor location  spectrum monitoring  deep learning
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