Other Data Paper Zone II Versions ZH3 Vol 5 (3) 2020
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A dataset for detection and tracking of dim aircraft targets through radar echo sequences
Dataset URL >>
: 2019 - 10 - 29
: 2020 - 05 - 14
: 2019 - 11 - 25
: 2020 - 08 - 18
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Abstract & Keywords
Abstract: Radar detection and tracking of dim targets under clutter has been a hot yet difficult issue in the fields of military and civilian applications, such as low-altitude security prevention and control, regional situation monitoring, long-range precision strike, battlefield intelligence and reconnaissance. However, there has been problems related to existing radar data, such as poor pertinence of data scenarios, insufficient authenticity of simulation data, nonstandard formatting of measured data, incomplete scene description and calibration information, etc. To meet the data requirements for studies on the radar target detection and tracking technologies under clutter, we took the fixed-wing UAV under clutter as detection object for radar outfield data acquisition and data processing, through which to generate a standard dataset for the radar detection and tracking of dim targets under clutter. This dataset covers typical scenarios such as strong clutter, low signal-to-noise ratio, high dynamics, strong maneuvering, and changing target number. It consists of 15 radar echo sequences in total, and each echo sequence contains a number of pulse signals of a certain temporal duration, a corresponding gate file and a true-value labeling file. With standardized format and accurately labeled information, the dataset can provide basic data for the design and verification of radar dim target detection and tracking algorithms and for studies of clutter characteristics.
Keywords: dim target; target detection; target tracking; radar echo sequence; dataset
Dataset Profile
TitleA dataset for detection and tracking of dim aircraft targets through radar echo sequences
Data corresponding authorHongqi Fan (fanhongqi@nudt.edu.cn)
Data authorsSong Zhiyong, Hui Bingwei, Fan Hongqi1, Zhou Jianxiong, Zhu Yongfeng, Da Kai, Zhang Xiaofeng, Su Hongyan, Jin Wei, Zhang Yongjie, Yang Caixia, Lin Zhen, Fan Rundong
Time range2017–2019
Geographical scopeChina
Clutter backgroundLand
Radar carrier frequency35 GHz
Pulse repetition rate32 KHz
Distance unit sampling interval 1.875 m
Data volume8.76 GB
Data format*.mat, *.txt
Data service system<http://www.sciencedb.cn/dataSet/handle/908>
Source of fundingNational Natural Science Foundation of China (61401475)
Dataset compositionThe dataset consists of 15 subsets. The subsets are named as data1.zip, data2.zip, … data15.zip. Each subset comprises three parts: (1) data[N].mat is an radar echo sequence for Segment N with the presence of target aircraft ; (2) data[N]_gate.mat is a radar range gate information sequence corresponding to the echo sequence; (3) data[N]_value.txt is the corresponding label file of data[N].mat. The label information includes the total target number, target serial number, target velocity and target range corresponding to every time interval of 50 ms in the radar echo sequence.
Article and author information
Song Zhiyong
主要承担工作:数据加工与标注,数据集制作,数据使用评价。
Hui Bingwei
主要承担工作:数据处理与加工。
Fan Hongqi
主要承担工作:数据集设计。
fanhongqi@nudt.edu.cn
Zhou Jianxiong
主要承担工作:数据处理与数据标注。
Zhu Yongfeng
主要承担工作:数据集设计。
Da Kai
主要承担工作:数据加工处理。
Zhang Xiaofeng
主要承担工作:数据采集方案制定。
Su Hongyang
主要承担工作:数据采集。
Jin Wei
主要承担工作:数据采集。
Zhang Yongjie
主要承担工作:数据采集。
Yang Cixia
主要承担工作:数据采集。
Lin Zhen
主要承担工作:数据采集。
Fan Rundong
主要承担工作:数据采集。
Publication records
Released: Nov. 25, 2019 ( VersionsZH2
Published: Aug. 18, 2020 ( VersionsZH3
References
中国科学数据
csdata