基于Raspberry Python和寄存器传输级软件定义无线电的训练器分析频谱分析仪的设计

F. Sabur, Ucok Sinaga
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引用次数: 1

摘要

通信网络。然而,频谱分析仪的高购买价格意味着不是每个人都能负担得起。克服这个问题的一个解决方案是制造一种能够执行与频谱分析仪相同性能的硬件,但价格相对便宜。所要实现的样机频谱分析仪是一种能够显示一定频率范围内信号频谱的设备。该工程于2020年7月至10月在望加锡航空理工学院校园进行,并在望加锡Otban地区V区进行了测试工具和比较工具。在数据收集中使用的技术或方法是图书馆法,即从书籍,文献和互联网上的教程中收集一些书面数据,作为参考资料,然后分析解决问题时可以采取的解决方案。从在单板计算机(SBC)上使用RTL-SDR进行的测试结果来看,树莓派无论是单独使用还是应用于网络都可以显示频谱,从而可以用作无线技术实践的学习媒介或其他测量频率的材料。使用树莓派作为处理无线电/无线信号的设备的训练频谱分析仪的性能在CLI模式(命令行界面)下使用时相当好,但在桌面上用作便携式频谱分析仪(可以用作学习媒介)时相对较慢
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design Trainer Analysis Spectrum Analyzer Based on Raspberry Python and Register Transfer Level - Software Defined Radio
communication network. However, the high purchase price of a Spectrum Analyzer means that not everyone can afford it. One solution to overcome this problem is to make a piece of hardware capable of performing the same performance as a Spectrum Analyzer but at a relatively cheaper price. Prototype Spectrum Analyzer to be implemented is a device capable of displaying the spectrum of a signal in a certain frequency range. This engineering was carried out from July to October 2020 at the Makassar Aviation Polytechnic Campus and testing tools with a comparison tool was carried out at Otban Region V Makassar. The technique or method used in data collection is the library method by collecting some written data from books, literature, and tutorials on the internet, as reference material and then analyzing solutions that can be taken in solving problems. From the results of tests carried out by using RTL-SDR on the Single Board Computer (SBC), Raspberry pi can display the frequency spectrum whether it is done singly or applied to the network so that it can be used as a learning medium for wireless technology practice or other materials that measure frequency From sergi, the performance of the trainer spectrum analyzer with the use of raspberry pi as a device for processing radio / wireless signals is quite good at utilization with CLI mode (command line interface) but is relatively slow when used on the desktop as a portable spectrum analyzer that can be used as a learning medium
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