Impulsive Interference Mitigation in Ad Hoc Networks Based on Alpha-Stable Modeling and Particle Filtering

Nouha Jaoua 1 Emmanuel Duflos 2, 1 Philippe Vanheeghe 2, 1 Laurent Clavier 3 François Septier 1
1 LAGIS-SI
LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
2 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal, Inria Lille - Nord Europe
Abstract : In this paper, we tackle the problem of interference mitigation in ad hoc networks. In such context, the multiple access interference (MAI) is known to be of an impulsive nature. Therefore, the conventional Gaussian assumption can not be considered to model this type of interference. Contrariwise, it can be accurately modeled by stable distributions. Here, this issue is addressed within an Orthogonal Frequency Division Multiplexing (OFDM) transmission link assuming a symmetric -stable model for the signal distortion due to MAI. For this purpose, we propose a method for the joint estimation of the transmitted multicarrier signal and the noise parameters. Based on sequential Monte Carlo (SMC) methods, the proposed scheme allows the online estimation using a Rao-blackwellized particle filter.
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Nouha Jaoua, Emmanuel Duflos, Philippe Vanheeghe, Laurent Clavier, François Septier. Impulsive Interference Mitigation in Ad Hoc Networks Based on Alpha-Stable Modeling and Particle Filtering. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, May 2011, Prague, Czech Republic. pp.3548 - 3551, ⟨10.1109/ICASSP.2011.5946244⟩. ⟨hal-00640682⟩

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