Standard-based Wireless Signals

In the experiments, Agilent vector signal generator (VSG) E4438C is used for emulating the unknown signal source as transmitter. The standard-based signals are generated utilizing the corresponding libraries that are loaded into the VSG. Set of generated standard signals consist of WCDMA, LTE, GSM, CDMA2000, DECT, WLAN, Bluetooth, and DVB signals. Agilent PSA Series vector signal analyzer (VSA) E4440A is used as receiver to capture the measurement data. Besides, the VSA is capable of providing baseband in-phase/quadrature(I/Q) samples as its output. 115 standard based signals are generated in different signal–to–noise ratio(SNR) levels with non line–of–sight(NLOS) and line–of–sight(LOS) conditions by using measurement setup. 67 of them have been used to train the SVM model. Their SCFs are estimated and used to train SVM. The rest of the signals are used as test signals to investigate performance of the proposed classifier model. While the train set includes the most of the LOS signals, the test set is mainly composed of NLOS signals. Dataset is used in the conference paper "On the Investigation of the Wireless Signal Identification Using Spectral Correlation Function and Support Vector Machines" submitted for possible publication in 2019 IEEE Wireless Communications & Networking Conference (WCNC 2019)实验中，采用安捷伦（Agilent）矢量信号发生器（vector signal generator, VSG）E4438C 作为发射端，模拟未知信号源。基于标准的信号通过加载至该矢量信号发生器的对应库文件生成。所生成的标准信号集包含宽带码分多址（WCDMA）、长期演进（LTE）、全球移动通信系统（GSM）、码分多址2000（CDMA2000）、数字增强无绳电信（DECT）、无线局域网（WLAN）、蓝牙（Bluetooth）以及数字视频广播（DVB）信号。安捷伦PSA系列矢量信号分析仪（vector signal analyzer, VSA）E4440A 作为接收端采集测量数据，该分析仪可输出基带同相/正交（I/Q）采样数据。通过本次实验搭建的测量系统，共生成115种基于标准的信号，涵盖不同信噪比（signal-to-noise ratio, SNR）水平，并包含非视距（non line-of-sight, NLOS）与视距（line-of-sight, LOS）两种传输场景。其中67组信号用于支持向量机（support vector machines, SVM）模型的训练，通过提取其谱相关函数（spectral correlation function, SCF）作为特征完成模型训练。剩余信号作为测试集，用于验证所提出的分类器模型性能。训练集以视距信号为主，测试集则主要由非视距信号构成。 本数据集曾用于2019年IEEE无线通信与网络会议（IEEE Wireless Communications & Networking Conference, WCNC 2019）的投稿论文《基于谱相关函数与支持向量机的无线信号识别研究》（On the Investigation of the Wireless Signal Identification Using Spectral Correlation Function and Support Vector Machines），该论文处于待出版状态。