Tracking a Maneuvering Target in Clutter by a New Smoothing Particle Filter

Author

Li, Yanqiu ; Shen, Yi ; Liu, Zhiyan ; He, Ping

Author_Institution

Dept. of Control Sci. & Eng., Harbin Inst. of Technol.

Volume

2

fYear

2005

fDate

16-19 May 2005

Firstpage

843

Lastpage

848

Abstract

Tracking maneuvering target in cluttered environment is a problem of great theoretical and application interest. In this paper a new smoothing particle filter algorithm is proposed which combines the particle filter with a Gibbs sampler to perform the smoothing of the estimation of the target maneuvering and measurement origin. This algorithm is used to estimate states of a maneuvering target from its cluttered measurements, and the simulation results show its powerful ability to solve the problem

Keywords

particle filtering (numerical methods); radar clutter; target tracking; Gibbs sampler; cluttered measurements; maneuvering target tracking; particle filter; Current measurement; Noise measurement; Particle filters; Particle measurements; Particle tracking; Performance evaluation; Smoothing methods; State estimation; Target tracking; Time measurement; Gibbs sampler; maneuvering target tracking; nonlinear/non-Gaussian model; particle filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604253

Filename

1604253