基于窄带雷达回波的飞机旋翼参数估计

Parameter Estimation of Aircraft Rotor Based on Narrow-band Radar Echo

提出一种提取并利用飞机的旋翼参数进行目标分类的方法。首先利用霍夫变换算法提取旋翼转速,再利用相干单距离多普勒干涉(CSRDI)算法和主成分分析(PCA)算法对旋翼进行窄带成像,提取旋翼的桨叶长度和桨叶片数,最后将提取的参数与标准库中的旋翼参数对比以实现飞机目标分类。MATLAB仿真实验结果表明了该旋翼参数估计方法的有效性,还可用于飞机目标分类。

A method is proposed to extract and utilize the aircraft rotor parameters for target classi- fication. This method firstly uses Hough transformation algorithm to extract the rotor speed, then uses coherent single range Doppler interference （CSRDI） algorithm and principal component analy- sis （PCA） algorithm to carry out narrow band imaging for the rotor and extract the blade length and blade number. Finally, the extracted parameters are compared with the rotor parameters in the standard library for achieving the classification of aircraft target. MATLAB simulation experiment results show that the rotor parameter estimation method is effective and can be applied to the clas- sification of aircraft target.