A Nonlinear IMM Algorithm for Maneuvering Target Tracking

Wen-Rong Wu, Peen Pau Cheng

研究成果: Article同行評審

41 引文 斯高帕斯(Scopus)

摘要

In target tracking, the measurement noise is usually assumed to be Gaussian. However, the Gaussian modeling of the noise may not be true. Noise can be non-Gaussian. The non-Gaussian noise arising in a radar system is known as glint noise. The distribution of glint noise is long tailed and will seriously affect the tracking performance. We develop a new algorithm that can effectively track a maneuvering target in the glint environment. The algorithm incorporates the nonlinear Masreliez filter into the interactive multiple model (IMM) method. Simulations demonstrate the superiority of the new algorithm.

原文English
頁(從 - 到)875-886
頁數12
期刊IEEE Transactions on Aerospace and Electronic Systems
30
發行號3
DOIs
出版狀態Published - 7月 1994

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