用改进的包络最小熵法进行包络对齐

包络对齐是逆合成孔径雷达(ISAR)运动补偿的基础。现有的包络对齐算法存在对齐精度较低的缺点。本文借助 Fourier变换的频域移位性质,改进了包络对齐处理的包络最小熵法。该算法在用包络最小熵法进行平动位移粗略估 计的基础上,利用频移因子对粗补偿的距离像进行小范围的调整和迭代,以获得更高的包络对齐精度。给出了详细 的算法流程和步骤。仿真数据和外场实测数据的处理结果都表明该方法的有效性。

ISAR Range Alignment Using Improved Envelope Minimum Entropy Algorithm

Range alignment is the key of inverse synthetic aperture radar (ISAR) motion compensation. The accuracy of those conventional range alignment algorithms is limited by the ISAR range resolution. By using the frequency shifting property of the Fourier transform, an improved envelope minimum entropy algorithm (EMEA) is proposed. The proposed algorithm apply several adjustments to the range profile which has be processed using the conventional EMEA. Both of the computer simulation data and real ISAR data are used to demonstrate its effectiveness.