| 引用本文: | 王元昊,王宏强,杨琪,等.太赫兹雷达多声音信号活动检测技术.[J].国防科技大学学报,2022,44(1):28-33.[点击复制] |
| WANG Yuanhao,WANG Hongqiang,YANG Qi,et al.Multi-voice signal activities detection method based on terahertz radar[J].Journal of National University of Defense Technology,2022,44(1):28-33[点击复制] |
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| 太赫兹雷达多声音信号活动检测技术 |
| 王元昊,王宏强,杨琪,邓彬,罗成高 |
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(国防科技大学 电子科学学院, 湖南 长沙 410073)
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| 摘要: |
| 针对在环境中同时存在多个声源的场景下,传统声音获取方式难以正确检测到期望声源处声音活动的问题,提出一种基于太赫兹雷达的多声音信号活动检测方法,该方法利用太赫兹雷达波长短提升对于微小振动的探测灵敏度,同时利用大宽带所带来的高距离分辨力区分不同声源,在获得声音信号后进一步通过谱减-小波联合去噪方法提升信号质量用于后续声音信号活动检测。实验结果表明,在传输路径上存在干扰声源时,相比麦克风方式而言,所提太赫兹雷达声音信号活动检测方法可以更有效地区分多个声源,获得期望声源处的声音活动。 |
| 关键词: 太赫兹雷达 多声音活动检测 微多普勒 抗干扰 |
| DOI：10.11887/j.cn.202201005 |
| 投稿日期：2021-01-25 |
| 基金项目:国家自然科学基金资助项目(61871386,61971427) |
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| Multi-voice signal activities detection method based on terahertz radar |
| WANG Yuanhao, WANG Hongqiang, YANG Qi, DENG Bin, LUO Chenggao |
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(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Aiming at the problem the traditional voice acquisition method is difficult to correctly detect the voice activity at the desired voice source when multiple voice sources exist simultaneously, a multi-voice activities detection method based on terahertz radar was proposed. The short wave length of terahertz radar was utilized to improve the detection sensitivity for micro vibration. At the same time, the high range resolution brought by large broadband was used to distinguish different voice sources. After obtaining the voice signal, the signal quality was further improved for signal activities detection by spectral subtraction wavelet joint denoising method. The experimental results show that, when there are interfering voice source on the transmission path, the proposed method can more effectively distinguish multiple voice sources and obtain the voice activity at the desired voice source than the microphone-based method. |
| Keywords: terahertz radar multi-voice activities detection micro-Doppler anti-interference |
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