A Nonlinear IMM Algorithm for Maneuvering Target Tracking

Wen-Rong Wu; Peen Pau Cheng

doi:10.1109/7.303756

A Nonlinear IMM Algorithm for Maneuvering Target Tracking

Wen-Rong Wu, Peen Pau Cheng

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	875-886
Number of pages	12
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	30
Issue number	3
DOIs	https://doi.org/10.1109/7.303756
State	Published - Jul 1994

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AB - 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.

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A Nonlinear IMM Algorithm for Maneuvering Target Tracking

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