Title :
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.
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604253
