空间目标一维距离像畸变补偿的混合算法

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。

Hybrid Algorithm for Distortion Compensation of Space Target High Resolution Range Profiles

Distortion compensation of high resolution range(HRR) profiles plays an important role in ISAR imaging of space target with high speed. Since the ambiguity function's peaks of space target baseband echo lay on a cluster of parallel lines which contained the original, a multi-objective programming model was established based on the constraint bounds of the line cluster. After that, an analytic algorithm for velocity estimation was presented with the application of regularization principle. Furthermore, an iterative searching algorithm was applied to minimize the entropy of HRR profiles and a velocity estimator with higher precision was provided, where the proposed analytic solution was set as the initial value for iteration. Simulations demonstrate that the proposed hybrid searching strategy takes the advantages of analytic algorithm and iteration algorithm in the computational complexity and estimate precision, which can effectively estimate the velocity of space target and compensate the distortion of HRR profiles.