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高分辨距离像的畸变补偿是空间目标ISAR成像过程中的重要环节。由于空间目标基带回波的模糊函数峰值落在包含原点的平行直线族上,根据平行直线族的约束边界建立了一个多目标规划模型,并利用正则化原理提出了一种目标速度估计的直接算法,具有解析解。将其作为迭代初值,进一步利用一维迭代搜索算法搜索距离像波形熵的最小值,获得了更精确的速度估计量。仿真结果表明,文章提出的混合搜索算法综合了解析算法和迭代搜索算法在计算量和准确性方面的优点,能有效估计空间目标径向速度并补偿一维距离像畸变。
Distortion compensation of high-resolution image is an important part of space target ISAR imaging. Since the peak of the ambiguity function of the spatial target baseband echo falls on the parallel line family including the origin, a multi-objective programming model is established according to the constraint boundary of the parallel line family and a direct algorithm of the target speed estimation is proposed by using the regularization principle , With analytical solution. As an iterative initial value, the one-dimensional iterative search algorithm is further used to search for the minimum of the entropy of the distance-like waveform, and a more accurate speed estimation is obtained. The simulation results show that the hybrid search algorithm proposed in this paper combines the advantages of analytic algorithm and iterative search algorithm in terms of computation and accuracy, and can effectively estimate the radial velocity of space target and compensate one-dimensional distance image distortion.