Abstract: To address the challenge of ghost interference caused by multipath effects in low-altitude radar imaging, this paper proposes a dual-system imaging fusion method based on vortex radar, incorporating both multiple-input single-output(MISO) and multiple-input multiple-output (MIMO) systems. A two-path propagation model is first established to derive the echo signal models for both systems. The impact of the Bessel spectrum envelope differences between the OAM source and its mirror image on imaging performance is analyzed. Furthermore, the spatial offset behavior of multipath-induced ghosts is investigated by comparing the point spread function (PSF) of the MISO and MIMO systems. Based on these differences, a Hadamard product-based fusion algorithm is proposed to suppress ghost artifacts by exploiting their complementary spatial distribution in the two systems. Simulation results demonstrate that the proposed method achieves a structural similarity index measure (SSIM) of 0.9637. Compared with the SSIM values of conventional real-aperture radar, MISO-OAM radar, and MIMO-OAM radar under multipath conditions, the proposed method yields absolute SSIM improvements of 0.7309, 0.7160, and 0.7814, respectively. These results indicate a significant enhancement in imaging quality and provide an effective approach for high-resolution imaging of low-altitude targets under multipath interference.