Alam, Md Sahabul, Kaddoum, Georges et Agba, Basile L..
2018.
« Performance analysis of distributed wireless sensor networks for gaussian source estimation in the presence of impulsive noise ».
IEEE Signal Processing Letters, vol. 25, nº 6.
pp. 803-807.
Compte des citations dans Scopus : 7.
Abstract
Abstract—We address the distributed estimation of a scalar
Gaussian source in wireless sensor networks (WSNs). The sensor
nodes transmit their noisy observations, using the amplifyand-
forward relaying strategy through coherent multiple access
channel to the fusion center (FC) that reconstructs the source
parameter. In this letter, we assume that the received signal at
the FC is corrupted by impulsive noise and channel fading, as
encountered for instance within power substations. Over Rayleigh
fading channel and in presence of Middleton class-A impulsive
noise, we derive the minimum mean square error (MMSE) optimal
Bayesian estimator along with its mean square error (MSE)
performance bounds. From the obtained results, we conclude that
the proposed optimal MMSE estimator outperforms the linear
MMSE estimator developed for Gaussian noise scenario.
Index Terms—Distributed WSN, MMSE optimal Bayesian
estimation, Middleton class-A impulsive noise, Rayleigh fading.
| Item Type: |
Peer reviewed article published in a journal
|
| Professor: |
|
| Affiliation: |
Génie électrique |
| Date Deposited: |
04 Jul 2018 12:43 |
| Last Modified: |
22 Jan 2020 19:58 |
| URI: |
https://espace2.etsmtl.ca/id/eprint/16798 |
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