Abstract:

For the spatial precession targets with rotational symmetry,the image got in monostatic radar is only a section of targets in the line-of-sight (LOS), which cannot reflect the real 3-D structure. And the precession makes it more complex. Profited from the multiview in radar networks, a 3-D reconstruction method for precession targets with rotational symmetry is proposed, based on radar networks. The echo model of precession targets with rotational symmetry is established firstly. On the basis of estimating the angle between LOS and the target’s symmetry axis, 2-D image of precession targets is got with complex-valued back projection, and the allowed angle error range is analyzed. Based on 2-D images from radar, a 3-D reconstruction method for targets with rotational symmetry is proposed, which realizes target’s 3-D reconstruction through 2-D images’ space calibration, matching fusion, strong scatter diction and circular curve fitting. Simulation results indicate that the method is valid.