Abstract:

Tomography synthetic aperture radar (TomoSAR) extends the synthetic aperture principle into elevation. It uses measured repeatpass synthetic aperture radar data to reconstruct the backscattered power along elevation, and achieves a threedimensional (3-D) image. In TomoSAR, track distribution affects the quality of elevation reconstruction. Compressive sensing (CS) is used to the elevation reconstruction for the sparse elevation distribution. The imaging quality of TomoSAR based on CS depends on the recovery property of the measurement matrix, which is affected by the track distribution.An optimal criterion based on coherent coefficient is used to optimize the distribution of flight tracks, and achieve the optimal reconstruction of elevation when the amount of tracks is fixed. Simulated and experimental results validate the effectiveness of the optimized method.