NDLI: On optimal sampling for particle filtering in digital communication

Content Provider	IEEE Xplore Digital Library
Author	Barembruch, S. Garivier, A. Moulines, E.
Copyright Year	2008
Description	Author affiliation: Inst. des Telecommun., TELECOM ParisTech, Paris (Barembruch, S.; Garivier, A.; Moulines, E.)
Abstract	Particle filtering has been successfully used to approximate the fixed-lag or fixed-interval smoothing distributions in digital communication and to perform approximate maximum likelihood inference. Because the state-space is finite, it is possible at each step to consider all the offsprings (path) of any given particle. Because each particle has typically several possible offsprings, the population of offsprings is larger than the initial population; it is thus required to construct a novel particle swarm by selecting, among all these offsprings, particle positions and computing appropriate weights. We propose here a novel unbiased selection algorithm, which minimizes the expected loss with respect to general distance functions. In a blind deconvolution setting, the selection schemes associated to the Chi-Square distance and the Kullback-Leibler divergence are compared by simulations to the deterministic scheme that keep only the best weights.
Starting Page	634
Ending Page	638
File Size	924080
Page Count	5
File Format	PDF
ISBN	9781424420452
DOI	10.1109/SPAWC.2008.4641685
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-06
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smoothing methods Distance measurement Signal to noise ratio Approximation methods Monte Carlo methods Filtering Noise
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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