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Multichannel synthetic aperture radar (SAR) is a significant breakthrough to the inherent limitation between high-resolution and\udwide-swath (HRWS) faced with conventional SAR. Error estimation and unambiguous reconstruction are two crucial techniques for\udobtaining high-quality imagery. This paper demonstrates the experimental results of the two techniques for Chinese first dualchannel\udspaceborne SAR imaging. The model of Chinese Gaofen-3 dual-channel mode is established and the mechanism of channel\udmismatches is first discussed. Particularly, we propose a digital beamforming (DBF) process composed of the subspace-based error\udestimation algorithm and the reconstruction algorithm before imaging. The results exhibit the effective suppression of azimuth\udambiguities with the proposed DBF process, and indicate the feasibility of this technique for future HRWS SAR systems

ERROR ESTIMATION AND UNAMBIGUOUS RECONSTRUCTION FOR CHINESE FIRST DUAL-CHANNEL SPACEBORNE SAR IMAGING