Performance analysis of distributed wireless sensor networks for gaussian source estimation in the presence of impulsive noise

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.

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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:	Professor Kaddoum, Georges
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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