Wideband multilinear array processing through tensor decomposition

Francesca Raimondi 1 Pierre Comon 1 Olivier Michel 1
1 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
Abstract : Our goal is to devise a wideband High-Resolution technique that does not require a priori knowledge of DoA rough estimates, and that is able to exploit multiple spatial invariances.Existing tensor array processing techniques are limited to the narrowband case. On the other hand, wideband Esprit has only been proposed with focusing matrices, requiring a priori DoA knowledge.We resort to the decomposition of tensors built on space, space translation and frequency diversities, and demonstrate the good behavior of the algorithm proposed.
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Communication dans un congrès
41st IEEE International Conference on Acoustics, Speech and SIgnal Processing (ICASSP 2016), Mar 2016, Shanghai, China. ICASSP 2016 - Proceedings, 2015, 〈10.1109/ICASSP.2016.7472218〉
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Dernière modification le : samedi 28 juillet 2018 - 01:14:47
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Francesca Raimondi, Pierre Comon, Olivier Michel. Wideband multilinear array processing through tensor decomposition. 41st IEEE International Conference on Acoustics, Speech and SIgnal Processing (ICASSP 2016), Mar 2016, Shanghai, China. ICASSP 2016 - Proceedings, 2015, 〈10.1109/ICASSP.2016.7472218〉. 〈hal-01206915〉

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