3.5GHz 微带天线阵列定位数据集
收藏资源简介:
本集包含了通过4单元微带天线采集的空口角度采集数据。该数据集包括了4路信号,每组信号由多个帧组成,每帧帧包含头、保护间隔、数据位和尾帧等结构,数据展示了目标在不同角度下的采集样本。这些信号数据采用了3.5GHz的数据偏差,特别适用于信号定位、角度估计和无线通信等领域的研究。数据采集方式为现场,地点位于电子科技大学,采集时间为2024年10月。通过微带天线接收信号数据,结合软件无线电空口技术进行采集,确保了本地和高可靠性的采集信号传输。每个采集样本代表目标不同方位角度的信号信息采集,为后续定位算法的开发和测试提供在处理方面,采集的信号经过了剪切和重构优化。处理步骤包括噪声高效抑制、信号同步、数据整理等,以保证数据的质量和高度一致性,适用于进一步的信号分析、定位研究和算法验证。特别是,信号帧结构的优化使得数据集在实际应用中更加能够支持有效角度估计、信号处理等相关技术的研究与开发。该数据集的发布将为无线定位技术、天线优化、无线通信系统研究等领域提供重要的数据支撑,促进相关技术的发展,并推动无线通信定位等应用场景的创新。
This dataset contains over-the-air angle collection data acquired by a 4-element microstrip antenna. It includes 4-channel signals, where each signal set consists of multiple frames. Each frame contains structures such as preamble, guard interval, data bits and trailing frame, and the data presents collected samples of the target under different azimuth angles. The signal data adopts a 3.5 GHz frequency deviation, and is particularly suitable for research in fields such as signal localization, angle estimation and wireless communications. The data was collected on-site at the University of Electronic Science and Technology of China (UESTC) in October 2024. The signal data is received via microstrip antennas and collected using software-defined radio (SDR) over-the-air technology, which ensures reliable and high-fidelity signal transmission during on-site acquisition. Each collected sample represents signal information acquisition of the target at different azimuth angles. The collected signals have undergone clipping and reconstruction optimization to support the development and testing of subsequent localization algorithms. The processing steps include efficient noise suppression, signal synchronization and data organization, etc., to ensure data quality and high consistency, making the dataset suitable for further signal analysis, localization research and algorithm validation. In particular, the optimized signal frame structure enables the dataset to better support the research and development of related technologies such as effective angle estimation and signal processing in practical applications. The release of this dataset will provide important data support for fields such as wireless localization technology, antenna optimization and wireless communication system research, promote the development of related technologies, and drive innovation in application scenarios such as wireless communication positioning.




