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BWRadarDataset-1.0:多波段多模态雷达探测感知数据集

张转花 夏勇 商国军 许涛 任伟杰 雷鸣 王歆远 寿博 邓丽颖 任乐乐 窦曼莉 靳俊峰 杨利红 张琦珺 李伟 牛蕾 林晓斌 张志成 常沛 何洋洋 汪振亚 侯其立 李玉景 郝慧军 曾怡

雷达科学与技术2026,Vol.24Issue(1):1-14,14.
雷达科学与技术2026,Vol.24Issue(1):1-14,14.DOI:10.3969/j.issn.1672-2337.2026.01.001

BWRadarDataset-1.0:多波段多模态雷达探测感知数据集

BWRadarDataset-1.0:Multi-Band Multi-Mode Radar Dataset for Detection and Sensing

张转花 1夏勇 1商国军 1许涛 1任伟杰 1雷鸣 1王歆远 1寿博 1邓丽颖 1任乐乐 1窦曼莉 1靳俊峰 1杨利红 1张琦珺 1李伟 1牛蕾 1林晓斌 1张志成 1常沛 1何洋洋 1汪振亚 1侯其立 1李玉景 1郝慧军 1曾怡1

作者信息

  • 1. 中国电子科技集团公司第三十八研究所,安徽 合肥 230088||雷达探测感知全国重点实验室,安徽 合肥 230088
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摘要

Abstract

With the rapid development of radar detection and sensing technology,high-quality datasets play a criti-cal role in algorithm innovation,model training,and performance verification.Nowadays,data-driven approaches such as deep learning have become the key in improving radar performance including detection,tracking,recognition,jam-ming and SAR.However,most of the existing datasets are generated by simulation,which is different from the real elec-tromagnetic environment,and the generalization ability is limited.Moreover,these datasets are often designed for single mode,such as detection or SAR,and lack of systematicness,which is difficult to support the integrated research of detec-tion,sensing and processing.In response to this gap,this paper introduces a comprehensive integrated dataset for radar detection,tracking and recognition.The dataset is derived from typical measured scenes,covering multi-band and multi-mode data,which includes signal processing,target tracking,fine-grained recognition,compound jamming and high-resolution SAR imaging,which truly reflects the propagation characteristics and target characteristics of radar sig-nals in complex environments.Furthermore,this paper conducts a systematic extraction and analysis of key features within the dataset,providing standardized feature input for algorithm development and performance evaluation in differ-ent tasks.This work contributes to provide a solid foundation for research in intelligent radar signal and information pro-cessing.

关键词

雷达探测/公开数据集/特征提取/目标检测/目标跟踪/目标识别/有源干扰/SAR图像/特征分析

Key words

radar detection/publicly available datasets/feature extraction/target detection/target tracking/target recognition/active jamming/SAR image/feature analysis

分类

信息技术与安全科学

引用本文复制引用

张转花,夏勇,商国军,许涛,任伟杰,雷鸣,王歆远,寿博,邓丽颖,任乐乐,窦曼莉,靳俊峰,杨利红,张琦珺,李伟,牛蕾,林晓斌,张志成,常沛,何洋洋,汪振亚,侯其立,李玉景,郝慧军,曾怡..BWRadarDataset-1.0:多波段多模态雷达探测感知数据集[J].雷达科学与技术,2026,24(1):1-14,14.

基金项目

雷达探测感知全国重点实验室基金(2401074240408,KGJ24010742403,KGJ2401072408) (2401074240408,KGJ24010742403,KGJ2401072408)

雷达科学与技术

1672-2337

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