In this paper, we introduce a novel direction-finding algorithm for a multiscale sensor array, that is, an array presenting multiple scales of spatial invariance.We show that the collected data can be represented as a Candecomp/Parafac model for which we analyze the identifiability properties. A two-stage algorithm for direction-of-arrival estimation with such an array is also proposed. This approach generalizes the results given in  to an array that presents an arbitrary number of spatial invariances.We illustrate, on two particular array geometries, that our method outperforms, in some difficult scenarios, the ESPRIT-based approach introduced in , the ESPRIT-MUSIC of , and the tensor-ESPRIT of .
|Number of pages||14|
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|Publication status||Published - 1 Jul 2015|
ASJC Scopus subject areas
- Aerospace Engineering
- Electrical and Electronic Engineering