Aiming at the cruise segment trajectory prediction problem of near space reentry gliding vehicle, a trajectory prediction algorithm based on control law prediction was proposed. By analyzing and deriving the unknowns in the trajectory prediction and studying the flight modes and control laws of the cruising segment, the feasibility of trajectory prediction was clarified. The discriminating methods of two kinds of flight trajectories are studied: balanced gliding and jumping gliding. On this basis, a trajectory prediction algorithm based on control law prediction was designed. The algorithm was verified by simulation. The influence of tracking time and tracking starting point on trajectory prediction accuracy was studied. The results showed that the algorithm had high accuracy for different types of trajectories; the tracking time had a great influence on trajectory prediction accuracy; but the impact of tracking start point was small.

Aiming at the problem that the traditional algorithm cannot initiate the slow and small target (SST) track effectively, a track initiation method for SST based on image processing Hough transform is proposed. The parameters of the minimum circumscribed rectangle, consisting of F₃, F₂ and F₁, are introduced as the weighting factors of Hough transform, and these parameters are extracted in accumulation region by image marking technique. SST is successfully obtained by controlling the weighting factor of Hough transform, which improves the detection performance of the radar to the SST. Simulation results verify the effectiveness of the proposed algorithm.