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Polynomial filter design for quantized consensus

Title
Polynomial filter design for quantized consensus
Authors
Thanou D.Park H.Kokiopoulou E.Frossard P.
Ewha Authors
박형곤
SCOPUS Author ID
박형곤scopus
Issue Date
2010
Journal Title
European Signal Processing Conference
ISSN
2219-5491JCR Link
Citation
pp. 184 - 188
Indexed
SCOPUS scopus
Abstract
We consider the problem of distributed average consensus where sensors exchange quantized data with their neighbors. We deploy a polynomial filtering approach in the network nodes in order to accelerate the convergence of the consensus problem. The quantization of the values computed by the sensors however imposes a careful design of the polynomial filter. We first study the impact of the quantization noise in the performance of accelerated consensus based on polynomial filtering. It occurs that the performance is clearly penalized by the quantization noise, whose impact directly depends on the filter coefficients. We then formulate a convex optimization problem for determining the coefficients of a polynomial filter, which is able to control the quantization noise while accelerating the convergence rate. The simulation results show that the proposed solution is robust to quantization noise while assuring a high convergence speed to the average value in the network. © EURASIP, 2010.
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엘텍공과대학 > 전자공학과 > Journal papers
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