Due to the large size of space targets, migration through resolution cells (MTRC) are\ninduced by a rotational motion in high-resolution bistatic inverse synthetic aperture radar (Bi-ISAR)\nsystems. The inaccurate correction of MTRC degrades the quality of Bi-ISAR images. However, it is\nchallenging to correct the MTRC where sparse aperture data exists for Bi-ISAR systems. A joint\napproach of MTRC correction and sparse high-resolution imaging for Bi-ISAR systems is presented in\nthis paper. First, a Bi-ISAR imaging sparse model-related to MTRC is established based on compress\nsensing (CS). Second, the target image elements and noise are modeled as the complex Laplace prior,\nand the Gaussian prior, respectively. Finally, the high-resolution, well-focused image is obtained by\nthe full Bayesian inference method, without manual adjustments of unknown parameters. Simulated\nresults verify the effectiveness and robustness of the proposed algorithm.
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