A method to detect people in multiple locations using a multiple-input and multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar system is proposed. A 2-D range-angle map is estimated by digital beamforming with virtual receiver arrays obtained via the operation of time-division multiplexing (TDM) MIMO radar. Phase variations due to human vital signs and movements allow the identification of people from stationary clutter in the range-angle map. To improve the sensitivity of phase-based human detection, a curve-length (CL) method that estimates the length of the I/Q signal trajectory is proposed. The proposed method can overcome the codomain limitation of a conventional method through its use of the standard deviation of phase variations. Measurements show that the method improves the signal-to-clutter ratio (SCR) by 10 dB compared with that when using the conventional approach.

中文翻译：

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基于I / Q信号轨迹曲线长度的MIMO FMCW雷达对多人的检测和定位

提出了一种使用多输入多输出（MIMO）调频连续波（FMCW）雷达系统在多个位置检测人员的方法。通过使用时分多路复用（TDM）MIMO雷达的操作获得的虚拟接收器阵列，通过数字波束成形来估计二维距离角图。由于人类生命体征和运动引起的相位变化，可以从射程角度图中的静止杂波中识别人员。为了提高基于相位的人体检测的灵敏度，提出了一种估计I / Q信号轨迹长度的曲线长度（CL）方法。所提出的方法可以通过使用相位变化的标准偏差来克服常规方法的共域限制。