基于相位补偿的外辐射源雷达旋翼目标特征提取

全球定位导航系统(GNSS)作为一种覆盖广泛的稳定信号源，对于微动目标特性识别具有相当大的实用价值。针对外辐射源旋翼目标识别问题，该文提出基于相位补偿的旋翼特征提取新思路。通过分析旋翼目标时频域内闪烁分布的数学形成机理，提出利用相位补偿的方法将相同叶片的闪烁聚焦到特定多普勒频率，进而估计旋翼的叶片数。然后依据闪烁中心频率距离基准频率最近的原则从参数矩阵中估计叶片转速等参数，并利用闪烁占据的带宽计算叶片的长度。最后仿真实验结果验证该方法对参数空间设置的适用性更强，估计精度也更高，并且可以在回波域实现旋翼目标的叶片分离。 

Feature Extraction of Rotor Blade Targets Based on Phase Compensation in a Passive Bistatic Radar

As a stable and widely covered signal resource, a Global Navigation Satellite System (GNSS) plays an important part in micro-Doppler extraction in a near field. This paper aims at the problems associated with rotor blade target recognition and proposes a novel solution based on phase compensation. First, the mathematical mechanism of flicker distribution in a time-frequency field is analyzed, and phase compensation is used to achieve the Doppler focusing, and then the blade number can be estimated. Second, according to the that the minimum delta frequency principle between the center frequency and standard frequency, the rotation velocity of the rotor blade is obtained. Next, blade lengths can be calculated through the flicker bandwidth in the time-frequency domain. Finally, the simulation experiments validate the effectiveness of the proposed method.