Localization of Spatially Distributed Near-Field Sources with Unknown Angular Spread Shape

Jad Abou Chaaya (1) , José Picheral (1) , Sylvie Marcos (1)

1 L2S - Laboratoire des signaux et systèmes

In this paper, we propose to localize and characterize coherently distributed (CD) sources in near-field. Indeed, it appears that in some applications, the more the sources are close to the array of sensors, the more they can seem scattered. It thus appears of the biggest importance to take into account the angular distribution of the sources in the joint direction of arrival (DOA) and range estimation methods. The methods of the literature which consider the problem of distributed sources do not handle with the case of near field sources and require that the shape of the dispersion is known. The main contribution of the proposed method is to estimate the shape of the angular distribution using an additional shape parameter to address the case of unknown distributions. We propose to jointly estimate the DOA, the range, the spread angle and the shape of the spread distribution. Accurate estimation is then achieved even when the shape of the angular spread distribution is unknown or imperfectly known. Moreover, the proposed estimator improves angular resolution of the sources.

Mots clés: Near-field; Angular spread shape estimation; Array signal processing; Source localization; Distributed sources

Domaines: Traitement du signal et de l'image [eess.SP]

Jad Abou Chaaya, José Picheral, Sylvie Marcos. Localization of Spatially Distributed Near-Field Sources with Unknown Angular Spread Shape. Signal Processing, 2015, 106, pp.259-265. ⟨10.1016/j.sigpro.2014.07.007⟩. ⟨hal-01231774⟩