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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 741284, 8 pages
Research Article

L-Shaped-Sensor-Array-Based Localization and Tracking Method for 3D Maneuvering Target

State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instruments, Tsinghua University, Beijing 100084, China

Received 7 September 2012; Accepted 19 December 2012

Academic Editor: Ruchuan Wang

Copyright © 2013 Xing Zhang and Xue Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The localization and tracking technology for a three-dimensional target, which is a kernel problem in the military area, has received more and more attention. This paper proposes a closed-loop system to detect 3D maneuvering targets, including data acquisition, the direction of arrival (DOA) estimation, the triangle localization, and a trajectory prediction. This system firstly uses several L-shaped sensor arrays to sample the signals of maneuvering targets. Then the 2D ESPRIT algorithm and a maximum likelihood algorithm are introduced to achieve the positions of the spatial targets. Thirdly an autoregressive (AR) particle filter (PF) algorithm is realized to predict the locations in the next moment. Finally the localization process is directed by using the predicted positions to form a positive feedback closed loop. Experiment results show that this system can enhance the robustness and accuracy of the localization and tracking for three-dimensional maneuvering targets.