Modulation Recognition IQ Samples Across Heterogeneous Sensors

In this paper, we design and present a testbed implementation and the resulting dataset for modulation recognition from real-world imperfect scans. We describe our efforts to build a testbed of heterogeneous spectrum sensors (low-cost RTL-SDR and mid-cost USRP) and a controlled transmitter in order to facilitate real-world data collection for modulation recognition from partial and biased scans. The testbed allows data collection, in the form of IQ samples, across five common modulation types (BPSK, QPSK, 8PSK, 16-QAM, 64-QAM) and with a controlled bandwidth overlap, 50% and 100%, between the transmitter and sensor. Using the data collected from the testbed, we then demonstrate modulation recognition from real-world, low-cost and imperfect scans. Our dataset is positioned to facilitate new research into signal recognition from partial and biased real-world spectrum data. Furthermore, the data can also facilitate research on the applicability of various sensor platforms to support real-world spectrum characterization.本文设计并实现了一套测试床（testbed），并构建了面向真实世界非理想扫描场景的调制识别任务配套数据集。本文详述了异构频谱传感器测试床的搭建工作：该测试床包含低成本RTL-SDR与中高端USRP两类设备，并搭载可控发射机，旨在为部分扫描与偏置扫描场景下的调制识别任务提供真实世界数据采集支持。该测试床可采集五类常见调制制式下的IQ样本（IQ samples），涵盖二进制相移键控（BPSK）、正交相移键控（QPSK）、八进制相移键控（8PSK）、16进制正交幅度调制（16-QAM）以及64进制正交幅度调制（64-QAM），并可控制发射机与传感器间的带宽重叠率，分别设置为50%与100%。基于该测试床采集的数据集，本文验证了基于真实世界、低成本非理想扫描场景的调制识别方法的有效性。本数据集旨在为基于部分扫描与偏置真实世界频谱数据的信号识别相关研究提供支撑。此外，该数据集还可用于研究各类传感器平台在真实世界频谱表征任务中的适用性。

搜集汇总

背景与挑战

背景概述

该数据集包含通过异构传感器（RTL-SDR和USRP）收集的真实世界调制识别IQ样本，覆盖五种常见调制类型（BPSK、QPSK、8PSK、16-QAM、64-QAM）和两种带宽重叠水平（50%和100%），旨在支持从部分和偏置频谱数据中进行信号识别的研究，并评估不同传感器平台在频谱表征中的适用性。