为提高信号的检测性能, 需要保持较长的积累时间, 这却造成严重的距离徙动. 文中针对高速运动目标提出了一种新的高分辨成像算法, 在运动参数未精确已知的情况下, 通过对多普勒模糊数进行估计和补偿得到正确的二阶Keystone变化结果, 在有效估计目标运动参数后, 利用驻相原理得到含有斜距三次项的频域相位, 并在二维频域进行补偿和聚焦. 仿真结果表明, 文中算法可以有效对高速微弱目标进行积累和补偿, 实现了高分辨成像.%The long integration time required to improve the signal detection performance causes serious range cell migration, and the accurate imaging of weak target is currently achieved by efficient estimation of parameters .In this paper , a new high resolution imaging algorithm is proposed for the high speed moving target .The second-order Keystone variation results are obtained by estimating and compensating the parameters of the motion parameters .The frequency domain phase of the three terms is obtained by using the principle of stationary phase for effective estima -tion of the target motion parameters .The simulation results show that the algorithm can effectively accumulate and compensate the high speed weak target , and realize high resolution imaging .
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