Human Activity Identification by Height and Doppler RCS Information Detected by MIMO Radar
Human Activity Identification by Height and Doppler RCS Information Detected by MIMO Radar
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DOI：
10.1587/transcom.2018anp0004
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发表时间：
2019-07
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通讯作者：
Dai Sasakawa;N. Honma;T. Nakayama;Shoichi Iizuka
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作者：
Dai Sasakawa;N. Honma;T. Nakayama;Shoichi Iizuka
介绍了一种利用多输入多输出（MIMO）雷达探测到的高度和雷达散射截面（RCS）信息识别人体活动的方法。该方法通过将多信号分类（MUSIC）方法应用于观测到的MIMO信道来估计三维目标位置;从从目标反射的信号计算多普勒RCS。姿态识别算法被施加到估计的人体高度和多普勒RCS的时间过渡的轨迹。在实验中，所提出的方法达到90%以上的识别率（平均）。关键词：MIMO阵列，人体活动识别，人体定位，MUSIC方法，微波传感器，多普勒RCS。
This paper introduces a method that identifies human activity from the height and Doppler Radar Cross Section (RCS) information detected by Multiple-Input Multiple-Output (MIMO) radar. This method estimates the three-dimensional target location by applying the MUltiple SIgnal Classification (MUSIC) method to the observed MIMO channel; the Doppler RCS is calculated from the signal reflected from the target. A gesture recognition algorithm is applied to the trajectory of the temporal transition of the estimated human height and the Doppler RCS. In experiments, the proposed method achieves over 90% recognition rate (average). key words: MIMO array, human activity identification, human localization, MUSIC method, microwave sensors, Doppler RCS.