LSS-FMCWR-2.0：Multi-band multi-angle FMCW radar low-altitude target detection dataset

The Multi band and Multi angle FMCW Radar low-altitude target Detection Dataset (LSS-FMCW R-2.0) is an expansion of the previously published Multi band FMCW low-altitude target Detection Dataset (LSS-FMCW R-1.0) in the Journal of Radar. The dataset is formed by collecting echoes from multiple types of low-altitude targets (rotary wing drones, flying birds, helicopters, etc.) using two different band (K+L) frequency modulated continuous wave radars. The K-band radar data includes low-altitude target echo data collected from different angles, where the angles between the two band radars are 0 °, 60 °, 90 °, 120 °, and 180 °. This dataset effectively supplements high-resolution radar low-altitude target feature data, aiming to promote the development of radar low-altitude target target detection technology. Collect 6 types of target echo data at a certain distance, while changing the radar modulation period and modulation bandwidth. The dataset contains a total of 90 data points.The copyright of the low-altitude target Echo Dataset of Multi angle and Multi band Frequency Modulated Continuous Wave Radar (LSS-FMCWR-2.0) belongs to the Marine Target Detection Team of Naval Aviation University, and the editorial department of Radar Journal has editing and publishing rights. Readers can use this data for teaching, research, etc. for free, but they need to cite or acknowledge it in the paper report results.The radar settings, acquisition scenarios, and signal processing flow of the LSS-FMCW R-2.0 dataset can refer to the paper "Multi band and Multi angle FMCW Radar low-altitude target Detection Dataset (LSS-FMCW R-2.0) and Feature Fusion Classification Method". The DJI M350, quadcopter drone, DJI Wu 2, and DJI Yu 2 each contain 20 sets of data, the AC311 helicopter contains 2 sets of data, and the simulated flying bird contains 4 sets of data. The LSS-FMCWR-2.0 dataset is constructed by naming the data. In order to facilitate the use of the dataset, the format of the dataset is uniformly named as AA time collection angle BB-CC-DD-L/K (FF), where AA represents the type of drone and ranges from 01 to 06; The collected angles include 0, 60, 90, 120, and 180 degrees; BB represents the modulation period, with values of 0.300 and 1.024 (in ms), CC represents the bandwidth, and DD represents the distance unit where the target is located; L/K represents data collected in the L-band or K-band, where L represents data collected by the L-band radar and K represents data collected by the K-band radar; FF represents the number of data numbers. The matrix file suffix for collecting data is ". mat".Several points to note: - L-band radar data are real, which does not affect time-frequency analysis; - Some parameters in L-band data collection remain unchanged in position, so the data remains unaltered.

多波段多角度调频连续波（Frequency Modulated Continuous Wave，FMCW）雷达低空目标检测数据集（Multi band and Multi angle FMCW Radar low-altitude target Detection Dataset，简称LSS-FMCW R-2.0）是此前发表于《雷达学报》（Journal of Radar）的多波段调频连续波低空目标检测数据集（LSS-FMCW R-1.0）的扩展版本。该数据集通过采用K、L两种不同波段的调频连续波雷达采集多类低空目标（旋翼无人机、飞鸟、直升机等）的回波数据构建而成。其中K波段雷达数据涵盖了不同角度下采集的低空目标回波数据，两种波段雷达间的夹角分别为0°、60°、90°、120°与180°。
本数据集有效补充了高分辨率雷达低空目标特征数据，旨在推动雷达低空目标检测技术的发展。研究团队在固定距离下采集了6类目标的回波数据，同时调整雷达调制周期与调制带宽，数据集总计包含90组数据。
多波段多角度调频连续波雷达低空目标回波数据集（LSS-FMCWR-2.0）的版权归属于海军航空大学海上目标探测团队，《雷达学报》编辑部享有编辑出版权。读者可免费将该数据集用于教学、科研等场景，但需在论文成果报告中对其进行引用或致谢。
LSS-FMCW R-2.0数据集的雷达设置、采集场景与信号处理流程可参考论文《多波段多角度调频连续波雷达低空目标检测数据集（LSS-FMCW R-2.0）与特征融合分类方法》。其中大疆M350、四旋翼无人机、大疆武2（DJI Wu 2）、大疆御2（DJI Yu 2）各包含20组数据，AC311直升机包含2组数据，模拟飞鸟包含4组数据。
LSS-FMCWR-2.0数据集通过命名规则进行构建。为便于数据集的使用，其统一采用如下命名格式：AA_采集时间_采集角度BB-CC-DD-L/K（FF）。其中AA代表目标类型，取值范围为01至06；采集角度包含0°、60°、90°、120°与180°；BB代表调制周期，取值为0.300与1.024（单位：毫秒）；CC代表调制带宽；DD代表目标所在的距离单位；L/K代表采集波段，其中L表示L波段雷达采集的数据，K表示K波段雷达采集的数据；FF代表数据编号。采集得到的矩阵文件后缀为".mat"。
需注意以下两点：
1. L波段雷达数据为实值数据，不会对时频分析造成影响；
2. L波段数据采集过程中部分参数位置固定，因此数据未经过额外修改。

搜集汇总

背景与挑战

背景概述

LSS-FMCWR-2.0是一个多波段多角度FMCW雷达低空目标检测数据集，扩展了之前的LSS-FMCWR-1.0数据集，包含多种低空目标的回波数据，采集角度多样，共90个数据点，旨在支持雷达低空目标检测技术的研究。