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Abstract This article introduces a high‐precision SAR echo simulation method aimed at providing a large‐scale SAR echo simulation algorithm that includes complex target information. This method independently simulates targets and ground clutter, calculating the shadow areas of targets and the dihedral effects between targets and the ground by constructing virtual rough surfaces and using ray tracing. Furthermore, this method can provide data sources for algorithms that improve detector performance using shadow or specular reflection characteristics. Finally, after comparing the simulation results with the publicly available MSTAR dataset, the experimental results show that this method ensures the accuracy of the results. This research provides a rich data source for the study of SAR detection and tracking algorithms and offers strong support for practical applications.