NDLI: Adaptive MCMC particle filter for tracking maneuvering target

Content Provider	IEEE Xplore Digital Library
Author	Liu Jing Han ChongZhao Hu Yu
Copyright Year	2011
Description	Author affiliation: Schools of Aeronautics, Northwestern Polytechnical University, China 710072 (Hu Yu) \|\| School of Electronics and Information Engineering, Xi'an JiaoTong University, 710049, China (Liu Jing; Han ChongZhao)
Abstract	When a target performs maneuvering movements, the target's state variables, such as position and velocity, vary and are not restricted to a fixed dynamic model. New features of posterior distribution of the target state are encountered during the tracking process. In the MCMC based particle filter methods, the particles are moved towards the target posterior distribution to adapt to the new features formed during the tracking process. However, the traditional MCMC sampling needs a lot of iterations to converge to the target posterior distribution, which is very slow and not suitable for real-time tracking problem. In order to speed the convergence rate, a new method named adaptive MCMC based particle filter method, which is the combination of the adaptive Metropolis (AM) method and the importance sampling method, is proposed to tackle the real-time tracking problem.
Starting Page	3128
Ending Page	3133
File Size	157857
Page Count	6
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Adaptation models Target tracking Particle Filter Heuristic algorithms Radar tracking Particle filters Markov Chain Monte Carlo Trajectory Adaptive Metropolis Method
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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