A Target Reconstruction Method for Coherent Multistatic Synthetic Aperture Radar

Multistatic synthetic aperture radar (MuSAR) has the potential for obtaining a high-resolution radar image by coherently collecting echo data of multiple stations. However, the point spread function (PSF) of coherent MuSAR may present split mainlobes and high sidelobes because its topology structure of multiple stations is distributed. In this paper, a target reconstruction method based on complex-Radon transform (CRT) is proposed to focus the PSF of coherent MuSAR. First, the echo model of coherent MuSAR is introduced. The wavenumber spectrum distributions of MuSAR based on different topology structures are analyzed. Then, the CRT method is adopted to avoid the coupling of two-dimensional wavenumber spectrum. Following, based on the projected wavenumber spectrum slices, a generalized nonuniform sampling iterative adaptive approach (GIAA) is proposed to reconstruct the targets along different directions. Finally, the high resolution imaging result in the ground plane is obtained based on coordinate transform. Simulations are carried out to verify the proposed method.