ABSTRACT

The hybrid baseline Multi-Channel Synthetic Aperture Radar (MC-SAR) refers to a MC-SAR with both along-track baselines and cross-track baselines. In the hybrid baseline MC-SAR, the phase induced by the target motion couples with the phase induced by terrain, which leads to the difficulty of ground moving target parameters estimation. In this paper, A novel maximum likelihood method based on the migration feature of a moving target in the complex image domain is proposed to estimate the velocity and height of the moving target. Compared with the original maximum likelihood method, the proposed method can decrease the computational load, has a smaller estimated error, and could resolve the ambiguity. The signal model of the terrain clutter and moving target in the hybrid baseline is analysed. A nonlinear antenna configuration is used to decouple the phase induced by moving target and terrain. Finally, some numerical experiments and scene simulation are also provided to demonstrate the estimated performance with different system parameters and the effectiveness of the proposed method.

摘要

混合基线多通道合成孔径雷达（MC-SAR）是指具有沿航迹基线和跨航迹基线的MC-SAR。在混合基线MC-SAR中，目标运动引起的相位与地形引起的相位耦合，导致地面运动目标参数估计困难。本文提出了一种基于运动目标在复图像域中的迁移特征的最大似然估计方法来估计运动目标的速度和高度。与原始最大似然法相比，该方法可以减少计算量，估计误差更小，可以解决歧义。分析了混合基线中地形杂波和运动目标的信号模型。非线性天线配置用于解耦由移动目标和地形引起的相位。最后，还提供了一些数值实验和场景模拟，以证明不同系统参数下的估计性能和所提出方法的有效性。