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Coherent radar observations of a highway: Datasets for radar practicum in signal processing

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4TU.ResearchData2022-06-21 更新2026-04-23 收录
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https://data.4tu.nl/articles/_/20089133
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资源简介:
25 datasets of the A13 highway observations using the TU Delft PARSAX S-band coherent radar, which can be used for radar practicum in BSc/MSc education. Every dataset archived using the ZIP-archiver and includes: the MATLAB mat file with the array of complex radar signals within range-slow time coordinates; the similar MATLAB mat file with the array of complex radar signals within range-slow time coordinates with noise-only measurements (without signal transmission); the video file from the collocated with the radar video camera, which is more-less synchronized with the radar observations. More details about the measurements, data access and processing in the MATLAB can be found at the file "Krasnov - Radar practicum - Doppler processing.pdf". The geo-location of the measurements can be found in the Google Earth file "PARSAX measurements of the highway.kml" If you will use this data for the scientific publications, we would appreciate it if you cite not only this data but also the paper with the description of the PARSAX radar: O. A. Krasnov, L. P. Ligthart, Zhijian Li, P. Lys and F. van der Zwan, "The PARSAX - full polarimetric FMCW radar with dual-orthogonal signals," <em>2008 European Radar Conference</em>, 2008, pp. 84-87 (see the web-link below). <br>

本数据集包含25组由代尔夫特理工大学(TU Delft)PARSAX型S波段相干雷达采集的A13高速公路观测数据,可用于本科与硕士阶段的雷达实习教学。所有数据集均以ZIP格式压缩归档,每份归档包含以下内容:一份MATLAB格式的mat文件,内含距离-慢时间坐标系下的复雷达信号阵列;一份同格式的MATLAB mat文件,内含仅含噪声的复雷达信号阵列(无有效信号发射场景);一段与雷达配套部署的摄像机采集的视频文件,其时间与雷达观测基本同步。有关本次测量的详细信息、数据获取方式及MATLAB数据处理流程,可参阅文件"Krasnov - Radar practicum - Doppler processing.pdf"。本次观测的地理位置信息可在Google Earth格式文件"PARSAX measurements of the highway.kml"中查阅。若您将本数据集用于学术发表,除引用本数据集外,还请一并引用PARSAX雷达的相关研究论文:O. A. Krasnov、L. P. Ligthart、李志坚、P. Lys 与 F. van der Zwan,题为《PARSAX——支持双正交信号的全极化FMCW雷达》的论文,发表于2008年欧洲雷达会议(2008 European Radar Conference),2008年,第84-87页(相关网页链接详见下文)。
提供机构:
van der Zwan, Fred; Yarovoy, Alexander
创建时间:
2022-06-21
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