The correlation-based synthetic aperture radar imaging technique, termed radar coincidence\nimaging, is extended to a fully multistatic multiple-input multiple-output (MIMO) synthetic aperture\nradar (SAR) configuration. Within this framework, we explore two distinct processing schemes:\nincoherent processing of intensity data, obtained using asynchronous receivers and inspired by optical\nghost imaging works, and coherent processing with synchronized array elements. Improvement in\nresolution and image quality is demonstrated in both cases using numerical simulations that model\nan airborne MIMO SAR system at microwave frequencies. Finally, we explore methods for reducing\nmeasurement times and computational loads through compressive and gradient image reconstruction\nusing phaseless data.
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