A Novel Multi-channel High-Resolution Imaging Method for MIMO-SAR System Based on Filterbank Framework Reconstruction Theory

Multi-input and multi-output SAR (MIMO-SAR) processing technique is the important development trend of the next-generation spaceborne SAR imaging system, due to the ability of achieving high resolution and large swath width (HRWS) imaging by exploiting more spatial degrees of freedom via adding multiple transmission channels. Considering that multichannel MIMO-SAR signal is nonuniformly sampled and most of the conventional reconstruction algorithms are time-consuming due to the matrix inversion or the eigenvalue decomposition, this paper proposes a fast nonuniform signal reconstruction algorithm based on filterbank framework theory, which combines the non-uniform signal reconstruction theory with a bank of filters to resolve the azimuth ambiguity by the point multiplication operation. Simulated processing results are used to validate the effectiveness of the proposed method.