Long Long / National University of Defense Technology, China
Xiaotao Huang / National University of Defense Technology, China
Dong Feng / National University of Defense Technology, China
This paper proposes a new geometry of baselines in tomographic SAR, whose elevation passes are structured in accordance with the geometry of the coprime array. Due to the sparse distribution of these passes, the total span length of the coprime baselines is longer than that of the dense baselines, providing the potential improvement of resolution in height direction but the inevitable deterioration of the height ambiguity ratio. To improve the smearing and leakage of height profile caused by the sparse sampling, the iterative adaptive approach (IAA) is applied to focus the height profile. It can obtain super-resolution elevation reconstruction even in the condition of one available snapshot. Simulation results are exhibited to evaluate the performance of the proposed coprime baselines in tomographic SAR, and the comparison with the dense and uniform baselines shows that the reconstructed height profile of the coprime baselines excels that of dense baselines exploiting either of the FFT-based approach and the IAA.