CANDECOMP/PARAFAC (CP) direction finding with multi-scale array
Sébastian Miron, Yang Song, David Brie, Kainam Thomas Wong · 2013
In this paper, we introduce a novel direction of arrival (DOA) estimation algorithm for an array presenting multiple scales of invariance, based on a CANDECOMP/PARAFAC (CP) model of the data. The proposed approach is a generalization of the results given in [1] to an array presenting an arbitrary number of spatial invariances. We show, on a particular array geometry, that our method could out-perform the ESPRIT-based approach introduced in [2].