In this paper

a robust slowly-moving target detection and location algorithm is investigated. In practice

due to channel imbalance such as gain and phase error

the clutter suppression performance of the interferometric SAR/ GMTI is significantly degraded

and makes it difficult to detect and locate the moving target. A channel error calibration algorithm based on sub-patch SAR image is proposed

and the spatial adaptive processing is used for the moving target detection and location.The simulation results are presented to demonstrate that

the proposed algorithm is robust to system errors

and is suitable for engineer implementation.