太赫兹雷达的人体微多普勒特征
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国家重点研发计划资助项目(2016YFC0800507)

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Human micro-Doppler characteristics of terahertz radar
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    摘要:

    太赫兹雷达观测的行人微多普勒特征可用于行人检测和识别,在无人车和智能驾驶领域有广泛的应用前景。通过搭建292 GHz太赫兹信号发射和接收环境,利用292 GHz太赫兹雷达观测行人的四肢和躯干摆动引起的微多普勒。本文实验中,首先利用矢量信号发生器生成基带信号,然后采用上变频器将基带信号上变频至292 GHz,不同部位的回波信号通过下变频器下变频至基带信号。对回波信号采用短时傅里叶变换处理,提取微多普勒频谱。实验中292 GHz提取的人体微多普勒特征实测结果与仿真结果一致。同时,实验还对比了292 GHz和24 GHz雷达的微多普勒结果。

    Abstract:

    The pedestrian micro-Doppler observed by terahertz radar can be used for pedestrian detection and recognition, which can be widely applied in the field of unmanned vehicle and intelligent driving. In this paper, a 292 GHz terahertz radar is utilized to observe micro-Doppler caused by the swing of pedestrians’ limbs and trunk by setting up the transmitting and receiving environment of 292 GHz terahertz signal. In this experiment, the baseband signal is generated by vector signal generator, and then the baseband signal is up-converted to 292 GHz. The echo signals of the body parts are down-converted to baseband signal. The echo signal is processed by short-time Fourier transform to extract the micro-Doppler spectrum. The experimental results of human micro-Doppler characteristics extracted at 292 GHz are consistent with the simulation results. At the same time, the micro-Doppler results of 292 GHz and 24 GHz radars are compared.

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毕严先,杜 瑞,焦 栋,郭晓雷,李 鑫.太赫兹雷达的人体微多普勒特征[J].太赫兹科学与电子信息学报,2019,17(5):760~764

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  • 收稿日期:2018-09-17
  • 最后修改日期:2018-12-03
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  • 在线发布日期: 2019-11-04
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