Tensor DoA Estimation with Directional Elements

Francesca Raimondi (1) , Pierre Comon (1)

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

Directivity gain patterns are treated as a physical diversity for tensor array processing, replacing space diversity, in addition to time and space shift diversities. We show that the tensor formulation allows to estimate Directions of Arrival (DoAs) under the assumption of unknown gain patterns, improving the performance of the omnidirectional case. We propose a trilinear model where one dimension of the multi-way data array is fully provided by gain patterns, allowing tensor approaches even when space diversity is missing due to sensor overlap.

Mots clés: Directional Arrays; DoA estimation; Smart Antennas; Patterns; Gain; Directivity

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

Francesca Raimondi, Pierre Comon. Tensor DoA Estimation with Directional Elements. IEEE Signal Processing Letters, 2017, 24 (5), pp. 648 - 652. ⟨10.1109/LSP.2017.2685244⟩. ⟨hal-01369713v2⟩