基于部分周期的扫描雷达目标微多普勒参数估计

针对雷达单次扫描时间小于目标转动周期的情况,提出了一种基于部分周期的扫描雷达目标微多普勒参数估计方法。转动目标的微多普勒信号可以通过正弦信号的形式表示。该方法从回波信号的时频域中提取出部分周期的微多普勒信号,利用正弦函数的性质,估计出目标转动频率和转动幅度,从而可以估计出目标转动半径。转动半径作为目标的固有特性,反映目标的结构信息和运动特征,为目标识别和分类提供有力依据,通过仿真实验和实测数据验证了该方法的鲁棒性和有效性。

Micro-Doppler parameter estimation of scanning-beam radar targets based on a fractional period

In real-world application, the time of a single radar scan is usually shorter than the target rotation period. For this situation, a method is proposed for estimating the micro-Doppler parameter of scanning-beam radar targets based on a fractional period. The micro-Doppler signal of a rotation target can be expressed by a sinusoid. The fractional period micro-Doppler signal is extracted from the time-frequency domain of the echo signal. By using the properties of sine, the rotation rate and rotation amplitude of the target can be estimated. With these two parameters, the rotation radius also can be given. As the intrinsic characteristics of the target, the rotation radius reflects the structure information and motion characteristics of the target and provides effective basis for the recognition and classification of the target. The robustness and validity of the proposed method are evaluated by simulation results and experimental data.