提出了一种基于Keystone变换的多目标成像算法。以各目标回波在径向上重叠较小的时刻为基准时间运用Keystone变换，同时校正各目标的线性距离走动，减轻了各目标回波在径向上的重叠，进而在距离-多普勒二维平面上完成各目标回波的分离。对分离出的回波分别进行相关法和PGA法的高次项运动补偿后，可得到各目标的距离-多普勒像。计算机仿真结果证明了该方法的有效性。

In the processing of radar echoes from m ultiple targets with different radial velocities, the conventional ISAR imaging algorithm is no longer valid. A Keystone transformation based imaging algorithm for multiple targets is proposed. By use of Keystone transformation at a proper reference time when the signal of each target can be separated in slant range, l inear range migration of all targets can be corrected simultaneously and it is e asy to separate the signals of one target from others in the range-doppler plan e. The higher order radial motion of each target signature is compensated separa tely using envelope correlation and PGA algorithms. The image of each target is obtained by applying a two-dimensional Fourier transform to its compensated sig nature. Computed simulation results show the efficiency of the algorithm.

TN958

海装预研项目(401060201)，重点实验室基金(51431030101ZS0102)，江南大学紧缺人才科研启动基金