@inproceedings{c412a7d8eaee484da186f03a6c85c2de,
title = "Tracking a maneuvering target in clutter by a new smoothing particle filter",
abstract = "Tracking maneuvering target in cluttered environment is a problem of great theoretical and application interest. In this paper a new smoothing particle filer 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 = "Gibbs sampler, Maneuvering target tracking, Nonlinear/non-Gaussian model, Particle filters",
author = "Yanqiu Li and Yi Shen and Zhiyan Liu and Ping He",
year = "2005",
doi = "10.1109/IMTC.2004.1351193",
language = "英语",
isbn = "078038248X",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
pages = "843--848",
booktitle = "IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference",
note = "IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference ; Conference date: 16-05-2005 Through 19-05-2005",
}