机载多通道SAR运动目标方位向速度和法向速度联合估计算法

对运动目标进行SAR成像时，参数估计是必不可少的。现有算法主要针对运动目标的径向速度和方位向速度进行估计，而对3维运动目标的法向速度无法估计。该文利用L型基线的机载多通道SAR系统，提出一种方位向速度和法向速度的联合估计算法。该算法在距离-多普勒域提取运动目标信号，并利用多幅SAR图像之间的相位差进行方位向速度和法向速度的联合估计。该算法不依赖图像配准，不需要解多普勒模糊，因此具有较高的估计精度和鲁棒性，有较强的实际意义和应用价值。

Joint Estimation Algorithm for Azimuth Velocity and Normal Velocity of Moving Targets in Airborne Multi-channel SAR

Parameter estimation is essential for SAR imaging of moving targets. The existing algorithms mainly estimate the radial velocity and azimuth velocity of the moving target, but the normal velocity of the three-dimensional moving target can not be estimated. In this paper, a joint estimation algorithm of azimuth velocity and normal velocity is proposed by using an airborne multi-channel SAR system with L-shaped baseline. The algorithm extracts the moving target signal in Range-Doppler domain, and estimates the azimuth and normal velocity jointly using the phase differences between multiple SAR images. The algorithm does not rely on image registration, does not need to solve Doppler ambiguity. Therefore, the algorithm has high estimation accuracy and robustness, and has strong practical significance and application value.