DocumentCode
2555529
Title
Interacting multiple model gaussian particle filter
Author
Liu, Zhigang ; Wang, Jinkuan
Author_Institution
Insitute of Eng. Optimization & Smart Antenna, Northeastern Univ., Qinhuangdao, China
fYear
2011
fDate
21-25 June 2011
Firstpage
270
Lastpage
273
Abstract
For maneuvering target tracking, the interacting multiple model Gaussian particle filter is proposed without resampling, which can avoid the degeneracy in the effective number of particles. The basic idea is to combine the interacting multiple model approach with a Gaussian particle filter and this approach is easy of parallel implementation. Finally, simulation results show the effectiveness of the proposed algorithms.
Keywords
Gaussian processes; particle filtering (numerical methods); target tracking; multiple model Gaussian particle filter; parallel implementation; target tracking maneuvering; Acceleration; Approximation methods; Equations; Markov processes; Mathematical model; Noise; Target tracking; Gaussian particle filter; Maneuvering target tracking; interacting multiple model; resampling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location
Taipei
Print_ISBN
978-1-61284-698-9
Type
conf
DOI
10.1109/WCICA.2011.5970741
Filename
5970741
Link To Document