CAJ | 학술논문

微多普勒特征是运动目标的独特特征，可为目标分类识别提供依据。人体行走是典型的非刚体运动，其雷达回波中包含多个频率分量，且分量之间频率重叠严重，因此对其进行微多普勒特征分析难度较大。首先构建人体行走模型及其雷达回波模型，然后以广义 S 变换为分析工具，对人体主要部位、单人行走和两人行走进行微多普勒特征分析，提出应该以脚部、小腿和躯干部的微多普勒特征作为人体行走识别的主要特征，为后续深入研究人体微多普勒特征奠定了基础。
미다보륵특정시운동목표적독특특정，가위목표분류식별제공의거。인체행주시전형적비강체운동，기뢰체회파중포함다개빈솔분량，차분량지간빈솔중첩엄중，인차대기진행미다보륵특정분석난도교대。수선구건인체행주모형급기뢰체회파모형，연후이엄의 S 변환위분석공구，대인체주요부위、단인행주화량인행주진행미다보륵특정분석，제출응해이각부、소퇴화구간부적미다보륵특정작위인체행주식별적주요특정，위후속심입연구인체미다보륵특정전정료기출。
Micro-Doppler signature is a unique signature of an object in motion,and can provide reasons for object classification and recognition.Human walking is a typical non-rigid motion,and there are many compo-nents with different frequencies overlapping seriously with each other in its radar echoes.So it is difficult to ana-lyze walking human’s micro-Doppler signatures.First,the human walking model and its radar echo model are constructed,then the micro-Doppler signatures of main body parts,single human walking and two human walk-ing are analyzed with the generalized S transform(GST)as the time-frequency analysis tool,and the view that taking the micro-Doppler signatures of feet,calves,and torsos as the main signatures of human walking recogni-tion is proposed,which lies a foundation for further study of human micro-Doppler signatures in future.