The Calibration Method of Multi-Channel Spatially Varying Amplitude-Phase Inconsistency Errors in Airborne Array TomoSAR

Airborne array tomographic synthetic aperture radar (TomoSAR) can acquire three-dimensional (3D) information of the observed scene in a single pass. In process airborne TomoSAR data imaging, due to disturbance factors such as inconsistent antenna patterns and baseline errors, there are spatially varying amplitude-phase inconsistency errors multi-channel Single-Look-Complex (SLC) images. The existence degrades quality 3D imaging results, which suffer from positioning stray points, spurious targets. this paper, new calibration method based on multiple prominent points is proposed calibrate inconsistency. Firstly, selected SLC data. Then, subspace decomposition maximum interference spectrum used extract at each point. last step fit curve compensate for errors. performance verified using actual experimental results show that compared with traditional fixed method, effectively thus improving accuracy reconstruction large-scale scenes.