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conference paper
Robust distributed detection over adaptive diffusion networks
2014
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Diffusion adaptation techniques based on the least-mean-squares criterion have been proposed for distributed detection of a signal in Gaussian-distributed noise, forgoing the need for a fusion center. However, least-mean-squares solutions are generally non-robust against impulsive noise. In this work, we combine nonlinear filtering with diffusion adaptation and propose a strategy for distributed detection in the presence of impulsive noise. The superiority of the algorithm is validated experimentally.
Type
conference paper
Authors
Publication date
2014
Publisher
Published in
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Start page
7233
End page
7237
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Florence, Italy | May 4-9, 2014 | |
Available on Infoscience
December 19, 2017
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