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Compressed sensing (CS) has been receiving great interests as it can reconstruct sparse signals exactly from a very small number of samples with high probability. In this paper, we demonstrate that “one-active” linear array SAR imaging can be formulated as sparse reconstruction problem and analyses the question of scattering center estimation in “one-active” linear array SAR via CS technique. According to CS, only a small number of sparse samples for “one-active” antenna is needed to obtained a low sidelobes image, which significant reduce platform hardware burden. The performance of CS reconstruction is tested through both simulation and ground-based experimental data.