Distributed evidence filtering: the recursive case

D Dewasurendra; P Bauer; K Premaratne

doi:10.1109/ISCAS.2006.1693687

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Conference proceeding

Distributed evidence filtering: the recursive case

D Dewasurendra, P Bauer and K Premaratne

2006 IEEE International Symposium on Circuits and Systems (ISCAS), p.4 pp

2006

DOI: https://doi.org/10.1109/ISCAS.2006.1693687

Abstract

Bayesian methods

Computer aided software engineering

Frequency

IIR filters

Information analysis

Information filtering

Information filters

Information processing

Intelligent networks

Sensor fusion

A novel approach named recursive evidence filtering for information processing in distributed sensor networks (DSNs) is presented. It is based on the Dempster-Shafer (DS) formalism, facilitating evidence exchange and fusion in a simple and straightforward manner, while accommodating for partial and incomplete information. Certain restrictions on the coefficients impose several challenges in the design of such evidence filters suggesting that arbitrary frequency shaping is not possible. A general design procedure for IIR type evidence filters is presented with examples

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Title: Distributed evidence filtering: the recursive case
Creators: D Dewasurendra - Dept. of Electr. Eng., Notre Dame Univ., IN
P Bauer
K Premaratne
Publication Details: 2006 IEEE International Symposium on Circuits and Systems (ISCAS), p.4 pp
Publisher: IEEE
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031619745102976