Ground-based radar detection dataset of “low slow small” unmanned aerial vehicles under simple field background conditions

This dataset provides a set of ground radar detection data of “low slow small” UAVs under field background conditions. It covers five models in two types of UAV targets (i.e., multi-rotor and fixed wing). The trajectories include from far to near, from near to far, and entering and exiting radar beams. The target motion states include acceleration, deceleration, hovering, climbing, diving, and heading adjustment. The data signal-to-noise ratios (SNRs) cover high and low SNR. It provides a data resource for relevant scholars to conduct research on radar signal processing methods for “low slow small” target characteristics analyzing，detection，tracking，and recognition.

本数据集包含野外背景环境下“低慢小”（low slow small）无人机（Unmanned Aerial Vehicle, UAV）的地面雷达探测数据。该数据集涵盖两类无人机目标（即多旋翼（multi-rotor）与固定翼（fixed wing））共5种型号的探测样本。目标飞行轨迹涵盖远距趋近、近距远离以及穿越雷达波束等多种场景；目标运动状态包含加速、减速、悬停、爬升、俯冲与航向调整等多种模式。数据的信噪比（signal-to-noise ratio, SNR）覆盖高、低信噪比区间。本数据集可为相关学者开展“低慢小”目标特性分析、探测、跟踪与识别相关的雷达信号处理方法研究提供数据支撑。

搜集汇总

背景与挑战

背景概述

该数据集提供了在野外背景下地面雷达对'低慢小'无人机的探测数据，涵盖多旋翼和固定翼两种类型的五种无人机模型，包含多种运动状态和信噪比条件，适用于雷达信号处理和目标特性分析研究。