An SDR platform using direction finding and statistical analysis for the detection of interferers

Wissam Abdessamad, Y. Nasser, H. Artail, Samah Chazbek, Ghassan Fakher, O. Bazzi
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引用次数: 7

Abstract

Radio frequency monitoring has gained a lot of research interest in spectrum management as it ensures an accurate and valid usage of the spectrum at both national and international levels while providing a protection of legal spectrum allocations against interference resulting from illegal use. Illegal repeaters are installed by end users, without the consent of authorities, because they are considered to be a cheap solution to the low signal strength problem. As these devices are not controlled by the operator, they transmit using a high power, thus jamming the useful signals and degrading the link's quality. In this paper, we propose and develop a Software Defined Radio (SDR) tool for the detection and localization of illegal transmission in both 3G and 4G networks. In our approach, we implement a direction finding tool on the Universal software Radio Peripherals (USRPs) and complement it with statistical analysis tool for the 3G network. Extensive lab and field test results show the high accuracy of the developed platform yet with a reduced cost.
一个利用测向和统计分析来检测干扰的SDR平台
无线电频率监测在频谱管理方面获得了很多研究兴趣,因为它确保了频谱在国家和国际层面的准确和有效使用,同时提供了合法频谱分配的保护,免受非法使用造成的干扰。非法中继器是由终端用户在未经当局同意的情况下安装的,因为它们被认为是解决低信号强度问题的廉价方法。由于这些设备不受操作员控制,因此它们使用高功率传输,从而干扰有用信号并降低链路质量。在本文中,我们提出并开发了一个软件定义无线电(SDR)工具,用于检测和定位3G和4G网络中的非法传输。在我们的方法中,我们在通用软件无线电外设(usrp)上实现了一个测向工具,并与3G网络的统计分析工具相补充。大量的实验室和现场测试结果表明,开发的平台具有较高的精度,同时降低了成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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