当前位置: X-MOL 学术IEEE Trans. Aerosp. Electron. Sys. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Practical Implementation of Adaptive Threshold Energy Detection using Software Defined Radio
IEEE Transactions on Aerospace and Electronic Systems ( IF 4.4 ) Pub Date : 2020-11-24 , DOI: 10.1109/taes.2020.3040059
Michael V. Lipski 1 , Sastry Kompella 2 , Ram M. Narayanan 1
Affiliation  

Spectrum awareness is a fundamental characteristic of cognitive radio, and spectrum sensing is the local procedure by which the cognitive radio gains knowledge of spectrum users. Energy detection is the most widely used and widely studied form of spectrum sensing. Much of the information about energy detector performance comes from theory and simulation rather than experimental data. We acknowledge a need for empirical data that can be used to evaluate a hardware energy detector and establish expectations on the differences in performance when comparing a hardware energy detector with simulations. In this article, we build and test a real-time, adaptive threshold energy detector using a USRP software-defined radio (SDR). While several groups have built energy detectors using SDRs, we found that there is still a lack of data on the parameters and performance characteristics of SDR-based energy detectors. Our work covers in detail the construction of the SDR energy detector and includes specific hardware and software parameters as well as several practical considerations. We discuss the procedure used to benchmark the energy detector and include experimental results that show how several implementation parameters affect the detector performance. Our work also explores the use of moving average windows to formulate the detection statistic and focuses on the importance of the length of the window as well as the shape of the window.

中文翻译:

使用软件无线电的自适应阈值能量检测的实际实现

频谱感知是认知无线电的基本特征,而频谱感知是认知无线电获得频谱用户知识的本地程序。能量检测是频谱感测中使用最广泛和研究最广泛的形式。有关能量检测器性能的许多信息来自理论和仿真,而不是实验数据。我们承认需要经验数据来评估硬件能量检测器,并在将硬件能量检测器与仿真进行比较时建立对性能差异的期望。在本文中,我们使用USRP软件定义的无线电(SDR)构建并测试了实时,自适应阈值能量检测器。虽然有几个小组使用SDR建造了能量探测器,我们发现仍然缺少基于SDR的能量探测器的参数和性能特征的数据。我们的工作详细介绍了SDR能量检测器的结构,包括特定的硬件和软件参数以及一些实际的考虑因素。我们讨论了用于对能量探测器进行基准测试的程序,并提供了一些实验结果,这些结果表明了几种实现参数如何影响探测器的性能。我们的工作还探索了使用移动平均窗口来制定检测统计数据,并着重于窗口长度和窗口形状的重要性。我们的工作详细介绍了SDR能量检测器的结构,包括特定的硬件和软件参数以及一些实际的考虑因素。我们讨论了用于对能量探测器进行基准测试的程序,并提供了一些实验结果,这些结果表明了几种实现参数如何影响探测器的性能。我们的工作还探索了使用移动平均窗口来制定检测统计信息,并着重于窗口长度和窗口形状的重要性。我们的工作详细介绍了SDR能量检测器的结构,包括特定的硬件和软件参数以及一些实际的考虑因素。我们讨论了用于对能量探测器进行基准测试的程序,并提供了一些实验结果,这些结果表明了几种实现参数如何影响探测器的性能。我们的工作还探索了使用移动平均窗口来制定检测统计信息,并着重于窗口长度和窗口形状的重要性。
更新日期:2020-11-24
down
wechat
bug