NDLI: Target Tracking By A New Class Of Cost-Reference Particle Filters

Content Provider	IEEE Xplore Digital Library
Author	Djuric, P.M. Zejie Zhang Bugallo, M.F.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY (Djuric, P.M.; Zejie Zhang; Bugallo, M.F.)
Abstract	Standard particle filters have shown excellent performance in many challenging scenarios of target tracking, and therefore they often are the method of choice. In cases when there is no knowledge about the noise distributions in the studied system, one cannot use these methods or will use them with assumptions that in general may lead to very poor results. An alternative to standard particle filters are the cost-reference particle filters. They are also based on the principle of exploring the state-space by drawing particles in that space but they do not require probabilistic information about the system. As with all particle-based filters, an important step in the implementation of cost-reference particle filters is the generation of new particles. In this paper we propose a new class of cost-reference particle filters which uses the extended Kalman filter for drawing of candidate particles. We demonstrate the performance of these filters on target tracking problems. We compare the new filter with traditional ones by simulated experiments.
Starting Page	1
Ending Page	9
File Size	421294
Page Count	9
File Format	PDF
ISBN	9781424414871
ISSN	1095323X
DOI	10.1109/AERO.2008.4526444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Particle filters State estimation Filtering Equations Gaussian noise Particle tracking Particle measurements Cost function Kalman filters
Content Type	Text
Resource Type	Article
Subject	Aerospace Engineering Space and Planetary Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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