Abstract Efficiently accumulating the power of human echo using a linear frequency modulated continuous wave radar is difficult owing to the spread of micro-Doppler due to the varying velocity of human body motion. Consequently, the detection performance for human targets degrades. A coherent integration algorithm called phase compensation transform (PCT) is proposed to solve this issue. In PCT, the beat signal of a human target is derived for an LFMCW radar based on the Boulic model. The nonlinear phase characteristic of the beat signal caused by micro-Doppler from human motion is analyzed. The phase compensation signal is constructed to compensate the nonlinear phase from micro-Doppler during a coherent processing interval. The compensated range cell is fast Fourier transformed, and the Doppler spread resulting from periodic micro-Doppler is integrated. The performance of PCT is evaluated and compared with that of other methods. Simulation results show that PCT exhibits higher integration efficiency than moving target detection (MTD) and optimized nonlinear-phase methods. Experiment results from the LFMCW radar system demonstrate that the detection signal-to-noise ratio of PCT increases 5dB compared with that of MTD method. Besides, PCT can estimate human motion parameters simultaneously, including average radial velocity, gait frequency, and torso initial phase.

中文翻译：

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使用 LFMCW 雷达进行人体检测的相位补偿变换

摘要 由于人体运动速度的变化导致微多普勒的传播，使用线性调频连续波雷达有效地积累人体回波的功率是困难的。因此，人类目标的检测性能下降。为了解决这个问题，提出了一种称为相位补偿变换 (PCT) 的相干积分算法。在PCT中，基于Boulic模型为LFMCW雷达推导出人类目标的差拍信号。分析了人体运动微多普勒引起的拍频信号的非线性相位特性。构建相位补偿信号以在相干处理间隔期间补偿来自微多普勒的非线性相位。补偿距离单元是快速傅立叶变换的，并对周期性微多普勒产生的多普勒扩展进行积分。PCT 的性能被评估并与其他方法的性能进行比较。仿真结果表明，PCT 比移动目标检测 (MTD) 和优化的非线性相位方法具有更高的集成效率。LFMCW雷达系统的实验结果表明，与MTD方法相比，PCT的检测信噪比提高了5dB。此外，PCT 可以同时估计人体运动参数，包括平均径向速度、步态频率和躯干初始相位。LFMCW雷达系统的实验结果表明，与MTD方法相比，PCT的检测信噪比提高了5dB。此外，PCT 可以同时估计人体运动参数，包括平均径向速度、步态频率和躯干初始相位。LFMCW雷达系统的实验结果表明，与MTD方法相比，PCT的检测信噪比提高了5dB。此外，PCT 可以同时估计人体运动参数，包括平均径向速度、步态频率和躯干初始相位。