在逆合成孔径雷达(ISAR)成像中,目标的非均匀转动会造成图像的严重散焦.针对这一问题,提出一种高效的成像方法.该方法首先对同一距离单元的方位向回波数据进行时频分析,接着根据目标转速与尺度变换因子的对应关系,用不同尺度因子对中心时刻的频率分布进行尺度变换构造出参考信号,通过求解各个时刻的频率分布与参考信号的相关系数,估计出目标的旋转速度变化情况,然后沿方位向进行重采样以补偿目标旋转速度变化的影响,最后进行成像处理得到聚焦良好的目标图像.该算法对每个时刻目标转动速度的变化都进行了精确的估计和补偿,因此它适用于转动速度任意变化的情况.另外,该算法需要的计算量较少,适用于实时处理.仿真和实测数据的处理结果验证了该方法的有效性.
In the inverse synthetic aperture radar(ISAR) imaging,the image will be greatly degraded by the non-uniform rotation of the target.To address this issue,an efficient method for ISAR imaging is proposed.In the proposed method,a time frequency analysis is firstly made of single range unit cross-range echo data.Secondly,according to the relationship between the rotating speed and the scaling factor,the reference signal is constructed by scaling the frequency distribution of the middle time with many different scaling factors.Thirdly,the curve of the rotating speed is estimated by figuring out the correlation coefficient between the reference signal and the frequency distribution of other moments.Then,an interpolation is executed in azimuth to compensate for the effects of changes in rotation speed.Finally,the well focused ISAR image of the target is obtained.Since all the changes of the target rotating speed are exactly estimated and compensated,the proposed approach is applicable to all the targets however the rotating speed changes.Moreover,it is computationally efficient and can be used in real time processing.Simulation results and measured data are provided to confirm the validity of the proposed approach.