Bibliographic Details
| Title: |
A maneuvering target tracking based on fastIMM-extended Viterbi algorithm. |
| Authors: |
Di, Yi1,2 (AUTHOR), Li, Ruiheng1,2,3 (AUTHOR) liruiheng@cqu.edu.cn, Tian, Hao1,2 (AUTHOR), Guo, Jia1,2 (AUTHOR), Shi, Binghua1,2 (AUTHOR), Wang, Zheng1,2 (AUTHOR), Yan, Ke4 (AUTHOR), Liu, Yueheng5 (AUTHOR) |
| Source: |
Neural Computing & Applications. Apr2025, Vol. 37 Issue 12, p7925-7934. 10p. |
| Subject Terms: |
*ACOUSTIC arrays, *VITERBI decoding, *ARTIFICIAL intelligence, *IMAGE processing, *ALGORITHMS |
| Abstract: |
A fastIMM-extended Viterbi (fastIMM-EV) algorithm-based maneuvering target tracking method is proposed for the real-time tracking of ground maneuvering targets by a ballistic acoustic array, which firstly adopts the extended Viterbi interactive multi-model (IMM-EV) algorithm to select the best model from a given model set to match the maneuvering target motion pattern; secondly, the α–β filter and α–β–γ filter are used to replace the 2D or 3D Kalman filter in the traditional IMM algorithm, respectively, to form the fastIMM-EV algorithm, which nearly improves the algorithm efficiency, and at the same time, for the switching problem of different fastIMM-EV modules, a target maneuver recognition parameter is defined as the switching factor of the fastIMM-EV module, so that fastIMM-EV to switch the module when the target maneuver occurs; finally, the MATLAB simulation test results verify the practicality and high efficiency of the algorithm in this paper compared with different IMM target tracking methods. [ABSTRACT FROM AUTHOR] |
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