利用多基线数据融合提高分布式卫星InSAR系统的干涉相位精度

分布式卫星干涉合成孔径雷达(InSAR)系统可以通过提供长基线来提高测高灵敏度，但长基线会给干涉相位展开带来困难。结合分布式卫星InSAR系统可以同时提供多个稳定基线的特点，该文提出利用多基线数据融合的方法来解决长基线给干涉相位展开带来的困难。文中采用了有效的数据融合方法最大似然估计(ML)法，对多基线分布式卫星InSAR系统的干涉相位进行了估计。模拟结果表明，经过多基线数据融合的干涉相位展开精度要远远大于长基线干涉相位的直接展开精度。

Improving the Interferometric Phase Accuracy of Distributed Satellites InSAR System with Multibaseline Data Fusion

Distributed satellites Interferometric Synthetic Aperture Radar (InSAR) can provide large baseline, by which the sensitivity to topography measure can be improved. But large baseline arises the difficulty in phase unwrapping procedures. Combined the characteristic of multibaseline of distributed satellites InSAR system, a method that utilizes the multibaseline data fusion is proposed to solve the problem of phase unwrapping brought by large baseline in this paper. Maximum likelihood (ML) method that is an effective two-baseline data fusion algorithm is adopted to estimate interferometric phase of distributed satellites InSAR system. The simulation results show that the phase unwrapping accuracy via multibaseline data fusion is higher than that of direct phase unwrapping of large baseline interferometric phase.