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

Xing Zhang | Zendy; Xue Wang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Xing Zhang,

Xue Wang

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/741284

Subject(s) - computer science , robustness (evolution) , tracking (education) , particle filter , trajectory , simultaneous localization and mapping , process (computing) , autoregressive model , computer vision , artificial intelligence , moment (physics) , algorithm , kalman filter , mobile robot , mathematics , robot , psychology , pedagogy , biochemistry , chemistry , physics , operating system , classical mechanics , astronomy , econometrics , gene

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. © 2013 Xing Zhang and Xue Wang.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research