层析SAR系统基线优化设计

自然场景3维影像重构是层析合成孔径雷达(TomoSAR)的重要应用。传统方法在沿高程维进行层析处理时，均通过对等距线阵模型进行加权的方式，以主瓣展宽为代价来抑制方向图旁瓣水平。针对该问题，该文建立一种基于非等距线阵的峰值旁瓣比极小极大优化模型，即在约束主瓣宽度一定的情况下，通过阵元位置的优化配置来获取观测场景视角范围内任意指向的最优旁瓣水平；提出一种目标函数离散栅格化方法，进而采用序列二次规划(SQP)方法并结合差分进化算法特有的全局记忆能力，以获取最优阵元配置方案。对PolSARpro全极化层析SAR仿真数据的处理结果表明该方法能够有效地应用于自然场景的3维影像重构。

Optimal Baseline Design for SAR Tomography System

Nowadays 3-D reconstruction for natural scene is an important aspect of the Earth observation with SAR Tomography (TomoSAR). The general method for pattern sidelobe suppression, during the tomographic processing, is usually implemented with the weighting of uniform linear array, however at the expense of mainlobe broadening. In this paper, a minimax optimization model for cells configuration is constructed based on non-uniform linear array, to achieve the optimal peak sidelobe ratio with a fixed mainlobe width for any beam direction in the range of perspectives. For this, an objective function rasterisation is proposed and then the optimal solution can be figured out by the Sequence Quadratic Programming (SQP) with differential evolution for its unique ability of global memory. Finally, experimental results with PolSARpro polarimetric TomoSAR data validate the effectiveness of the proposal for natural scene 3-D image reconstruction.