提出利用Karhunen Loeve变换(K-L变换)识别旋转畸变目标的方法.利用K-L变换法对不同旋转目标进行处理得到不同特征值,取前两个最大的特征值所对应的特征向量分别进行滤波器编码,把得到的匹配滤波器分别加载到VLC相关器上进行光路识别.针对两个滤波器产生的相关峰值曲线波动性较大的缺点,采用线性叠加法进行改进.实验结果表明,该方法使峰值的波动性得到降低. A method of identifying rotationally distorted targets by using Karhunen Loeve transform (KL transform) is proposed. Different rotational targets are processed by KL transform to obtain different eigenvalues, and the eigenvectors corresponding to the first two largest eigenvalues ​​are respectively subjected to filter coding. The matched filters are respectively loaded into VLC correlator for optical path identification.According to the shortcomings that the correlation peak curves of the two filters have great volatility, the linear superposition method is used to improve the experimental results.The experimental results show that the peak Volatility is reduced.