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A Novel Robust Interacting multiple model Filter for maneuvering target tracking
  • peng gu,
  • Zhongliang Jing,
  • Liangbin Wu
peng gu
Jiangsu Vocational College of Information Technology

Corresponding Author:[email protected]

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Zhongliang Jing
Shanghai Jiao Tong University
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Liangbin Wu
AVIC Leihua Electronic Technology Research Institute
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A robust interacting multiple model approach is proposed to address the problem of accuracy and non-Gaussian measurement noise in maneuvering target tracking. Firstly, the interacting multiple model effectively improves the accuracy of maneuvering target tracking. Secondly, the multiple fading factors are introduced into the prediction covariance matrix for adjusting the gain matrix in real-time to enhance the accuracy caused by model mismatch and improve the ability of state transitions. Finally, the maximum correntropy criterion effectively promotes the robustness to outliers. The effectiveness of the proposed approach has been verified through simulation.
Submitted to Electronics Letters
28 Jan 2024Reviewer(s) Assigned
28 Feb 2024Review(s) Completed, Editorial Evaluation Pending
29 Feb 2024Editorial Decision: Revise Major
13 Mar 2024Submission Checks Completed
13 Mar 2024Assigned to Editor
13 Mar 2024Review(s) Completed, Editorial Evaluation Pending