A novel robust interacting multiple model filter for manoeuvering target tracking

Autor:	Peng Gu, Zhongliang Jing, Liangbin Wu
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	adaptive estimation adaptive filters Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Electronics Letters, Vol 60, Iss 6, Pp n/a-n/a (2024)
Druh dokumentu:	article
ISSN:	1350-911X 0013-5194
DOI:	10.1049/ell2.13165
Popis:	Abstract A robust interacting multiple model approach is proposed to address the problem of accuracy and non‐Gaussian measurement noise in manoeuvering target tracking. The proposed approach introduces multiple fading factors into the prediction covariance matrix and adjusts each channel of the gain matrix in real time to improve the accuracy caused by model mismatch and enhance state transition capability. Considering the non‐Gaussian noise, an improved IMM filter is constructed to further improve the robustness using the maximum correntropy criterion. The simulation results show that the proposed approach can effectively suppress the non‐Gaussian noise and improve the accuracy with adaptability and robustness.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/446196e2c7e6482ba6224c0af72a77a6 Zobrazit plný text záznamu Plný text View record in DOAJ