Отправить статью по E-mail Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking
- Авторы: Yang K.1, Wang J.1, Shen Z.1, Pan Z.1, Yu W.1
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Учреждения:
- School of Information and Electrical Engineering, China University of Mining and Technology
- Выпуск: Том 29, № 3 (2019)
- Страницы: 559-564
- Раздел: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195687
- DOI: https://doi.org/10.1134/S1054661819030106
- ID: 195687
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Аннотация
In order to solve the problem of particle depletion and complexity in traditional particle filtering, a particle filter target tracking method based on Gaussian clustering is proposed in this paper. Combined with adaptive double-sampling and gradmethod, the real time and robustness of dynamic tracking are improved significantly.
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Об авторах
Kai Yang
School of Information and Electrical Engineering, China University of Mining and Technology
Автор, ответственный за переписку.
Email: ts16060158a3@cumt.edu.cn
Китай, Xuzhou, Jiangsu, 221006
Jun Wang
School of Information and Electrical Engineering, China University of Mining and Technology
Автор, ответственный за переписку.
Email: wj999lx@163.com
Китай, Xuzhou, Jiangsu, 221006
Zhengwen Shen
School of Information and Electrical Engineering, China University of Mining and Technology
Автор, ответственный за переписку.
Email: szwfast@163.com
Китай, Xuzhou, Jiangsu, 221006
Zaiyu Pan
School of Information and Electrical Engineering, China University of Mining and Technology
Автор, ответственный за переписку.
Email: pzycumt@163.com
Китай, Xuzhou, Jiangsu, 221006
Wenhui Yu
School of Information and Electrical Engineering, China University of Mining and Technology
Автор, ответственный за переписку.
Email: ts16060158a3@cumt.edu.cn
Китай, Xuzhou, Jiangsu, 221006
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