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Movement and respiration detection using statistical properties of the FMCW radar signal

机译:利用FMCW雷达信号的统计特性进行运动和呼吸检测

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This paper presents a 24 GHz FMCW radar system for detection of movement and respiration using change in the statistical properties of the received radar signal, both amplitude and phase. We present the hardware and software segments of the radar system as well as algorithms with measurement results for two distinct use-cases: 1. FMCW radar as a respiration monitor and 2. a dual-use of the same radar system for smart lighting and intrusion detection. By using change in statistical properties of the signal for detection, several system parameters can be relaxed, including, for example, pulse repetition rate, power consumption, computational load, processor speed, and memory space. We will also demonstrate, that the capability to switch between received signal strength and phase difference enables dual-use cases with one requiring extreme sensitivity to movement and the other robustness against small sources of interference.
机译:本文介绍了一种24 GHz FMCW雷达系统,该系统可利用接收到的雷达信号的统计特性(幅度和相位)的变化来检测运动和呼吸。我们介绍了雷达系统的硬件和软件部分以及具有两种不同用例的测量结果的算法:1. FMCW雷达作为呼吸监测器; 2。双重使用同一雷达系统进行智能照明和入侵检测。通过使用信号的统计特性变化进行检测,可以放宽一些系统参数,例如,脉冲重复率,功耗,计算负荷,处理器速度和存储空间。我们还将证明,在接收信号强度和相位差之间进行切换的能力可实现两用情况,其中一种情况要求对运动极为敏感,而另一种情况则要求对小干扰源具有鲁棒性。

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