信号处理2025，Vol.41Issue(5)：807-820,14.DOI:10.12466/xhcl.2025.05.003
地杂波背景下雷达低慢小无人机探测数据集(LSS-Ku-1.0)
Radar Detection Dataset of Low-Slow-Small UAV Under Ground Clutter(LSS-Ku-1.0)
摘要
Abstract
The radar detection and recognition of low-slow and small targets,such as unmanned aerial vehicle(UAV)in complex environments,encounter significant challenges,while related research has become an important and difficult issue in the field of radar detection.The dataset is the basis of radar target detection and recognition research,and data quality and diversity play an important role in the performance validation of data processing algorithms.In the current publicly released dataset,radars are often deployed on the ground,with a relatively clear background for aerial target detection.At present,there are fewer publicly released radar UAV target-detection datasets under clutter background,while the detection scenarios,observation viewpoints,target flight heights,and signal bandwidths are relatively single.Therefore,data diversity needs to be improved.This study constructs a set of radar low-slow-small UAV detection datas-ets(LSS-Ku-1.0)under a ground-clutter background.Using a Ku-band phased-array radar placed on a high tower,the radar echo data of UAV targets with strong clutter background were recorded in the complex and wild environment of a jungle and grassland.The dataset covers target echoes with different signal waveforms,bandwidths,grazing angle varia-tions,and three different flight altitudes.Based on the dataset,the statistical distribution and time-dependent characteris-tics of the clutter were analyzed.Five statistical models were used to fit the statistical distribution of clutter,and the re-sults of goodness-of-fit tests were given.The micro-Doppler characteristics of the rotor blades of the UAV were ana-lyzed.The high-resolution range profile,spectrogram,time-frequency map,and range-Doppler spectrum of typical data were also investigated.These provided data support for the analysis of radar characteristics of low-slow-small targets,as well as research on detection,tracking,and recognition.关键词
雷达/地杂波/低慢小目标/无人机/数据集Key words
radar/ground clutter/low-slow-small target/unmanned aerial vehicle(UAV)/dataset分类
信息技术与安全科学引用本文复制引用
程永强,邹润明,陈嘉宜,吴昊,华小强..地杂波背景下雷达低慢小无人机探测数据集(LSS-Ku-1.0)[J].信号处理,2025,41(5):807-820,14.基金项目
国家自然科学基金(62371458) The National Natural Science Foundation of China(62371458) （62371458）
