NDLI: Generalizations of Blom And Bloem's PDF decomposition for permutation-invariant estimation

Content Provider	IEEE Xplore Digital Library
Author	Crouse, David Frederic Willett, Peter Bar-Shalom, Yaakov
Copyright Year	2011
Description	Author affiliation: University of Connecticut, Department of Electrical and Computer Engineering, 371 Fairfield Way U-2157, Storrs, CT 06269, USA (Crouse, David Frederic; Willett, Peter; Bar-Shalom, Yaakov)
Abstract	Minimum mean squared error estimates generally are not optimal in terms of a common track error statistic used in tracking benchmarks, namely a form of the Mean Optimal Sub-pattern Assignment (MOSPA) metric. We derive an explicit solution for the MOSPA-optimal estimates for two scalar targets. We also generalize previous work on permutation variant and invariant PDF decompositions by Blom and Bloem (avoiding the use of measure theory), demonstrating how the means of these PDFs may be used to approximate minimum MOSPA estimates. These methods based upon PDF manipulation may be used with general PDFs for an arbitrary number of targets having states of arbitrary dimensionality. The results are also applicable within the context of channel estimation.
Starting Page	3840
Ending Page	3843
File Size	107999
Page Count	4
File Format	PDF
ISBN	9781457705380
ISSN	15206149
e-ISBN	9781457705397
e-ISBN	9781457705373
DOI	10.1109/ICASSP.2011.5947189
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-22
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Approximation methods Radar tracking Approximation algorithms Maximum likelihood estimation permutation invariance MOSPA state estimation track accuracy
Content Type	Text
Resource Type	Article

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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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