Tracking of Maneuvering Extended Object with Random Hypersurface Model Based on Adaptive Uncorrelated Conversion Filter-Reference-Cited by-同舟云学术

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Tracking of Maneuvering Extended Object with Random Hypersurface Model Based on Adaptive Uncorrelated Conversion Filter

Published:2024-08-05 Issue: Volume: Page:
ISSN:2093-274X
Container-title:International Journal of Aeronautical and Space Sciences
language:en
Short-container-title:Int. J. Aeronaut. Space Sci.

Author:

Sun Lifan^ORCID,Dong Jingke,Gao Dan

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Natural Science Foundation of Henan Province

Science and Technology Innovative Talents in Universities of Henan Province

Young Backbone Teachers in Universities of Henan Province

Major Science and Technology Projects of Longmen Laboratory

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42405-024-00795-5.pdf

Reference31 articles.

1. Chen Y-W, Tu K-M (2018) Maneuvering target tracking using los and fuzzy input estimator. Int J Aeronaut Sp Sci 19(4):878–888

2. Sun S, Dong K, Guo C, Tan D (2021) A wind estimation based on unscented Kalman filter for standoff target tracking using a fixed-wing uav. Int J Aeronaut Sp Sci 22(2):366–375

3. Roh H, Shim S-W, Tahk M-J (2018) Maneuver algorithm for bearings-only target tracking with acceleration and field of view constraints. Int J Aeronaut Sp Sci 19:423–432

4. Sun L, Yu H, Fu Z, He Z, Zou J (2021) Modeling and tracking of maneuvering extended object with random hypersurface. IEEE Sens J 21(18):20552–20562

5. Wang Q, Zhang Y (2021) Heterogeneous sensor-based target tracking with constant time delay. Int J Aeronaut Sp Sci 22:186–194

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