Wideband multiple diversity tensor array processing

Francesca Raimondi (1) , Rodrigo Cabral Farias (1) , Olivier J.J. Michel (1) , Pierre Comon (1)

1 GIPSA-CICS - GIPSA - Communication Information and Complex Systems

This paper establishes the general tensor model for wideband array processing including multiple physical diversities. A separable coherent focusing operation is proposed as a pre-processing step in order to ensure the multi-linearity of the interpolated data. We propose an ALS algorithm to process tensor data, dealing with the noise correlation structure introduced by the focusing operation. We show through computer simulations that the estimation of DoA and polarization parameters improves existing narrowband tensor processing and wideband MUSIC. Performance is also compared to Cramér-Rao bounds of the wideband tensor model.

Mots clés: DoA estimation; interpolation; High Resolution; antenna array processing; wideband; MUSIC; tensor; polarization; CP decomposition; localization

Domaines: Traitement du signal et de l'image [eess.SP]; Théorie de l'information [cs.IT]; Algorithme et structure de données [cs.DS]

Francesca Raimondi, Rodrigo Cabral Farias, Olivier J.J. Michel, Pierre Comon. Wideband multiple diversity tensor array processing. 2016. ⟨hal-01350549v2⟩