室内毫米波雷达幽灵抑制:轨迹引导的时空空间点云学习
Ruizhi Liu1, Zhenhang Qin1, Xinghui Song1
1State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai 201203, China.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
这项研究引入了一种基于轨迹的幽灵抑制方法,用于毫米波 (mmWave) 雷达的人类检测. 这种方法有效地减少了室内多路径传播引起的幽灵目标,提高了雷达系统的可靠性.
科学领域:
- 雷达检测 雷达检测 雷达检测
- 人工智能的人工智能
- 智能环境 智能环境
背景情况:
- 毫米波 (mmWave) 雷达在智能环境中提供先进的人类检测.
- 室内多路径传播通过创建幽灵目标严重影响毫米波雷达的可靠性.
研究的目的:
- 为毫米波雷达系统开发强大的幽灵抑制方法.
- 为了提高室内环境中人类检测的可靠性.
主要方法:
- 一种基于轨迹的幽灵抑制技术,集成多目标跟踪和点云上的深度学习.
- 关键步骤包括点云预分段,框架间轨迹跟踪,轨迹特征聚合和特征广播.
- 将时空信息与点级特征相结合,以提高准确性.
主要成果:
- 在室内数据集上实现了93.5%的准确性和98.2%的AUROC.
- 在现有的幽灵镇压方法中表现出卓越的性能.
- 废弃性研究证实了单个组件的有效性,特别是预细分和轨迹处理.
结论:
- 拟议的基于轨迹的方法显著提高了mmWave雷达在室内人体检测方面的性能.
- 有效地抑制幽灵目标可以提高雷达系统的整体可靠性和准确性.
- 轨迹跟踪和深度学习的整合为未来的雷达传感研究提供了一个有希望的方向.
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