?e localization and tracking technology for a three-dimensional target, which is a kernel problem in the military area, has received\r\nmore and more attention. ?is paper proposes a closed-loop system to detect 3D maneuvering targets, including data acquisition,\r\nthe direction of arrival (DOA) estimation, the triangle localization, and a tra??ectory prediction. ?is system ??rstly uses several\r\nL-shaped sensor arrays to sample the signals of maneuvering targets. ?en the 2D ESPRIT algorithm and a maximum likelihood\r\nalgorithm are introduced to achieve the positions of the spatial targets. ?irdly an autoregressive (AR) particle ??lter (PF) algorithm\r\nis realized to predict the locations in the next moment. Finally the localization process is directed by using the predicted positions\r\nto form a positive feedback closed loop. Experiment results show that this system can enhance the robustness and accuracy of the\r\nlocalization and tracking for three-dimensional maneuvering targets
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