A motion compensation method for airborne SAR imagery

A novel motion compensation method, which is based on the approximate total least squares (ATLS) algorithm, for wide-beamwidth SAR systems is proposed in this paper. The method is suitable for situations where both the estimated phase errors and the geometry of SAR imagery are corrupted by noise. The precondition that the noise belongs to a certain distribution model is not necessary, which makes it more robust for many kinds of scene content. As a consequence, higher accuracy of the estimated motion error and better focused image are achieved. Simulated and real data imaging demonstrate the validity of the proposed method.