Target Position Compensation Algorithm for Unmanned Aerial Vehicle Radar Image

During monitoring the building fire explosion site, the combustible object may easily collapse, thus changing the distance between the combustible object and radar system. For this reason, the combustible object position in a series of 2-D images obtained by Back Projection (BP) imaging technique is displaced. Based on the fact that the echo intensity of specular reflection is stronger than the echo intensity of diffuse reflection, in this paper, a collapse detection method based on the amplitude variations between two frames is proposed to determine whether the combustible object collapses. Besides, a position compensation method which uses the focusing delay skew to reconstruct the 2-D image is proposed to obtain the real position. The simulation results validate the correctness and feasibility of the algorithm.