基于分数阶自相关的机动目标ISAR成像算法

ISAR imaging of maneuvering targets based on fractional autocorrelation

提出了一种新的机动目标逆合成孔径雷达(ISAR)成像算法。该算法基于机动目标散射点的多普勒频率近似于线性调频(LFM)信号的特征,利用分数阶自相关算法对多分量LFM信号进行检测和参数估计,从而获得了较为理想的成像效果。外场实测数据成像结果验证了新方法的有效性。

A new algorithm for inverse synthetic aperture radar（ISAR） imaging of maneuvering targets is presented.Under the assumption that the echo signal of each scatter point is a linear frequency modulated（LFM） signal,the fractional autocorrelation is applied to detect and estimate the parameters of multi-component LFM signal,and the quality of ISAR images improves greatly.The results of real data demonstrate the validity of the proposed method.