A nonlinear IMM algorithm for maneuvering target tracking

Author

Wu, Wen-Rong ; Cheng, Peen-Pau

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

30

Issue

3

fYear

1994

fDate

7/1/1994 12:00:00 AM

Firstpage

875

Lastpage

886

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

Keywords

computational complexity; digital simulation; filtering and prediction theory; noise; probability; radar interference; radar systems; signal detection; tracking; Gaussian modeling; computation requirements; distribution; glint noise; interactive multiple model; maneuvering target tracking; measurement noise; nonGaussian noise; nonlinear IMM algorithm; nonlinear Masreliez filter; radar system; score function; simulation; tracking performance; Degradation; Filtering; Filters; Gaussian noise; Motion estimation; Noise measurement; Radar tracking; State estimation; Target tracking; Working environment noise;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.303756

Filename

303756