A Target Detection and Tracking Method for Multiple Radar Systems

Multiple radar systems represent an attractive option for target tracking because they can significantly enlarge the area coverage and improve both probability of trajectory detection localization accuracy. The presence multiple extended targets or weak is a challenge systems. Moreover, their performance may be severely deteriorated by regions characterized high clutter density. In this paper, algorithm targets, weak, based on measurements provided radars in environment with heavily cluttered regions, proposed. proposed method features three stages. first stage, past are exploited to build spatio-temporal map each radar; weight then assigned measurement assess its significance. second track-before-detect algorithm, weighted three-dimensional Hough transform, applied obtain tracklets. third low-complexity tracklet association method, exploiting lion reproduction model, associate tracklets same target. Three experiments presented illustrate effectiveness approach. experiment synthetic data, one actual data from network two homogeneous air surveillance radars, four different marine radars. results reveal that outperform competing approaches.