2-dimension imaging algorithm for high-velocity moving target in short-range

For evaluating the performance of sophisticated weapons, this paper studies a 2D imaging algorithm for the high-velocity moving target in short-range. The target velocity is estimated by using quasi wave-front of the warhead scattering centers, and a set of range points is got. Then, by deriving the target motion state equation, subsets of range points corresponding to each scattering center are extracted. Finally, target points corresponding to each scatter center is got by utilizing the range point migration (RPM) algorithm. The influences of sampling interval, velocity error and white noise on the imaging performance are analyzed. The simulation results show that target boundary is accurately extracted by using the proposed method, which is conducive to get a more accurate measurement of target parameters.