The HT-TBD Algorithm for Large Maneuvering Targets with Fewer Beats and More Groups

Abstract

Aiming at the problem that the traditional HT-TBD algorithm is not effective in detecting the track of a large maneuvering target, this paper proposes an algorithm that starts with fewer beats and more groups before associating. By reducing the number of accumulated beats, the trajectory of the maneuvering target in a short time is approximated to a straight line. Through the tracking before detection method based on the modified Hough transform, the sub-track of the target in each time period is found, and the trajectory of the large maneuvering target is obtained through the track correlation.