The micro-motion feature extraction for ballistic target has attracted great attention in recent years.Because of the limitation of the angle of view

only the characteristics of micro-motion projected in the line-of-sight (LOS) could be extracted in monostatic radars.In the paper

the distributed radar networks are utilized to obtain the three-dimensional micro-motion features of ballistic targets with empennages.Profited from the multi-view of distributed radar networks

the 3-D coning vector of target is reconstructed from the micro-Doppler parameters of the scatterer on the cone apex of ballistic target

and then the precession period

spinning period

precession angle

the radius of cone bottom

and the intersection location of the spinning axis and the conning axis are solved by analyzing the relationship between the micro-Doppler curves and the precession motion of the scatterers on edge of the cone bottom.The length of target is also estimated.Simulations validate the effectiveness of the algorithm

and the robustness of the algorithm is also analyzed.