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穿墙雷达人体动作识别技术的研究现状与展望
引用本文:丁一鹏, 厍彦龙. 穿墙雷达人体动作识别技术的研究现状与展望[J]. 电子与信息学报, 2022, 44(4): 1156-1175. doi: 10.11999/JEIT211051
作者姓名:丁一鹏  厍彦龙
作者单位:中南大学物理与电子学院 长沙 410083
基金项目:国家自然科学基金;湖南创新型省份建设专项
摘    要:在人体目标的动作识别应用中,穿墙雷达(TWR)具有隐蔽性高、探测能力强和不易受环境因素限制等优点,同时兼具良好的目标隐私信息保护能力,在武装反恐、安保监控和医疗看护等领域发挥出重要作用。为了梳理穿墙雷达对人体目标动作识别技术的发展脉络以及预测该技术的未来发展趋势,该文首先简要介绍穿墙探测的工作原理,并对不同体制穿墙雷达的特点进行比较和讨论;然后,围绕穿墙雷达人体动作识别应用中的雷达成像、特征参数提取和动作状态判决等关键技术,对国内外公开发表的相关文献进行了归纳分析;最后,对穿墙雷达的人体动作识别技术研究进行总结和展望,指出该技术在目前实际应用中所面临的潜在问题和挑战。

关 键 词:穿墙雷达   动作识别   雷达成像   特征信息提取   状态判决
收稿时间:2021-09-28
修稿时间:2021-12-12

Research Status and Prospect of Human Movement Recognition Technique Using Through-Wall Radar
DING Yipeng, SHE Yanlong. Research Status and Prospect of Human Movement Recognition Technique Using Through-Wall Radar[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1156-1175. doi: 10.11999/JEIT211051
Authors:DING Yipeng  SHE Yanlong
Affiliation:School of Physics and Electronics, Central South University, Changsha 410083, China
Abstract:In applications of human action recognition, Through-Wall Radar (TWR) is a promising tool because of its outstanding advantages in aspects of concealment, detection ability and robustness against environmental restrictions. Besides, TWR can provide targets with satisfactory privacy protection. As a result, TWR is widely used in a series of areas including anti-terrorism, security monitoring and medical caring. To hackle and forecast the development process of the TWR-based human action recognition theory, the detection principle of different kinds of TWRs is first introduced in this article, and their properties are compared. Then aiming at the key technologies involved in human action recognition, such as radar imaging, feature information extraction, and action state judgement, the relevant literature published at home and abroad is classified and analyzed. Finally, the TWR-based human action recognition theory is summarized and prospected, and some potential problems and challenges in practical applications are pointed out.
Keywords:Through-Wall Radar (TWR)  Action recognition  Radar imaging  Feature information extraction  State judgement
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